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Mistral is looking for an Engineering Team Lead Serverless Containers to lead the team building and operating the serverless container platform.

Crusoe is looking for an Engineering Manager Deployment to lead network deployment teams delivering global high-performance compute infrastructure.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Serve as Mistral AI’s senior technical authority for critical electrical, mechanical and life-safety infrastructure across assigned colocation sites. Protect the availability of high-density AI compute by identifying technical risks before they become incidents, challenging infrastructure operating practices and verifying that power and cooling systems perform within agreed requirements. Operating context & accountability Working with Engineering Operations leadership, IT Operations, hardware partners and colocation providers, you will provide hands-on technical assurance across a site or cluster. You will assess provider performance, advise on critical decisions, support incident response and ensure operational learning drives durable improvements. The role focuses on technical oversight and influence rather than direct management of the colocation provider’s maintenance workforce. Technical assurance and operational risk - Own and maintain the site technical risk register, including electrical and mechanical single points of failure, maintenance exposure, redundancy limitations, cooling capacity, liquid-cooling interfaces and common-mode failure scenarios. - Assess the resilience of utility connections, MV/LV distribution, transformers, generators, UPS, switchgear, busways, protection systems, pumps, cooling plant, controls and monitoring against the contracted operating envelope. - Review provider preventive maintenance strategies, schedules, critical asset condition and outstanding defects; identify maintenance deferrals and vulnerabilities that may affect AI compute availability. - Critically review high-risk methods of procedure, electrical switching and isolation plans, planned impairments, work sequencing, contingency measures, rollback plans and restoration criteria. - Validate the completeness and quality of technical documentation, including single-line diagrams, P&IDs, operating sequences, alarm matrices, capacity records, asset registers and operating procedures. - Use BMS/EPMS trends, alarms, power-quality records and cooling telemetry to identify abnormal operating conditions, capacity constraints and deteriorating resilience before service is affected. Incident response, investigations and reliability - Act as a senior engineering escalation point during major infrastructure incidents; rapidly assess failure domain, remaining redundancy, safety implications, likely IT impact and viable restoration options. - Coordinate technical information across the colocation provider, Mistral IT Operations and OEM partners, ensuring accurate incident timelines, risk communication and controlled return to service. - Review and challenge root-cause analyses, distinguishing immediate triggers from underlying design, maintenance, controls, process and organizational contributors. - Define and follow up corrective and preventive actions, requesting evidence of implementation and verifying that recurring failure modes have been addressed. - Identify systemic trends across sites and share lessons learned with engineering design, commissioning and regional operations teams. - Support emergency response planning and tabletop exercises covering loss of utility, cooling failures, liquid leaks, fire/life-safety events and critical equipment failures. Capacity delivery, commissioning and change control - Participate in design and constructability reviews for expansions, retrofits and new AI deployments; flag operational, maintainability and resilience concerns early. - Review commissioning and integrated systems testing plans, including power transfers, redundancy scenarios, controls failure modes, cooling recovery and operational readiness criteria. - Challenge test results and acceptance evidence against defined electrical, thermal and operational requirements; track unresolved technical issues through handover. - Partner with IT Operations on rack power and thermal limits, direct-to-chip liquid cooling, coolant distribution unit boundaries, leak response and load-restoration dependencies. - Assess proposed changes to critical infrastructure, including concurrent maintenance, controls updates and brownfield works; recommend safeguards and escalation where exposure is unacceptable. - Provide technical coaching to internal stakeholders, contribute to engineering standards and support recruitment and knowledge sharing as the portfolio expands. Success measures - Critical technical risks are identified early, prioritized and reduced through verified mitigation actions, supporting Mistral’s availability objectives. - High-risk maintenance and infrastructure changes receive timely, evidence-based technical review with clear mitigations and escalation. - Major incidents are diagnosed accurately, communicated effectively and followed by robust root-cause analysis and verified corrective actions. - New and expanded capacity meets agreed redundancy, electrical, cooling and operational acceptance requirements. - Repeat failures, unresolved high-severity defects and preventable technical deviations decrease over time. Minimum qualifications - 5–7+ years in critical facilities engineering, commissioning, data center operations or technical assurance in high-availability environments. - Strong practical knowledge of critical electrical infrastructure (UPS, generators, MV/LV distribution, switchgear and protection) and mechanical systems (cooling plant, pumps, controls and heat rejection). - Ability to review single-line diagrams, operating sequences, technical procedures, maintenance plans, commissioning evidence and root-cause analyses. - Demonstrated experience troubleshooting complex infrastructure incidents and influencing external technical teams without direct line authority. - Clear written and verbal English communication, sound judgment under pressure and willingness to travel and participate in incident escalation as needed. Preferred experience - Full technical governance, multi-site operations or mission-critical facilities serving high-density AI/HPC workloads. - Experience with direct-to-chip liquid cooling, CDUs, facility/technology cooling interfaces, water quality, leak detection and rack-level thermal management. - Integrated systems testing, EPMS/BMS trend analysis, protection coordination, failure-mode reviews and cross-site engineering standardization. - Experience partnering with hardware OEMs, design engineers, commissioning teams and infrastructure providers during live-site expansion. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Houston, United States We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we have supported our clients across the world with unrivalled expertise, equipment, and technology throughout the entire asset lifecycle – both offshore and onshore. Operating through our global business lines of Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions, we provide a broad range of specialist services including cranes, lifting, fluid power, training, equipment rental, pipeline, process, subsea, and valve services. At EnerMech, we are driven by operational excellence, innovation, and technical expertise, delivering value through integrated solutions that reduce risk, improve efficiency, and enhance performance for our customers worldwide. Role Overview Purpose: develop engineering competence while supporting safe, accurate and timely technical delivery for assigned ES and IIS projects under supervision. Be responsible for the care, completeness, traceability and timely preparation of assigned calculations, drawings and procedure inputs; submit all engineering outputs for checking and approval before release. Apply approved standards, templates and document controls; escalate uncertainty, technical risk and scope changes to the supervising engineer. Work within assigned competence and supervision arrangements. Technical approvals, purchasing commitments and budget approvals remain with authorized personnel. Responsibilities Prepare routine engineering calculations, equipment data, drawings and P&ID markups using approved methods under guidance; record inputs, assumptions, units and sources. Draft procedures and engineering content for work packs; incorporate review comments and maintain revision history. Assist with job design, equipment selection and specification, considering operating requirements and equipment capabilities and limitations. Support workshop familiarization and function testing under competent supervision. Assist with engineering inputs to tenders, technical queries and project reporting; support activity sequencing, resource planning and mobilization schedules, and communicate progress, dependencies, shortages and delivery risks promptly. Participate in planned workshop, project and site rotations across relevant service lines, assisting with field data collection and project execution under the guidance of the assigned engineer or site supervisor. Follow EnerMech and client quality, health, safety and environmental requirements; participate in risk reviews and report hazards, nonconformities and proposed changes. Support post-job analysis by comparing planned and actual performance, recording equipment performance and contributing to close-out reports and lessons learned. Recommend improvements to shared templates, calculation tools and controlled technical libraries. Prepare equipment, tooling and consumables lists and assist with mobilization checks; coordinate with operations and workshop teams to confirm availability, readiness and suitability, and identify missing items before mobilization. Prepare technical inputs to material requisitions and assist with supplier technical clarifications and quotation comparisons, subject to engineering review. Assist with estimates and track assigned equipment, material and service costs against approved allowances; report variances to the project team. Requirements Qualifications: relevant engineering degree, including Mechanical, Civil, Electrical, Chemical or Ocean Engineering according to scope. Experience: entry-level, typically 0–2 years. Travel: workshop and onshore / offshore assignments as required; scope, training and travel expectations to be confirmed for the vacancy. Benefits Why Join EnerMech? At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Dubai, United Arab Emirates About the Company We are a real estate developer delivering luxury branded residences across the UAE. Our portfolio includes villas and apartments with premium amenities such as beach clubs, golf courses and high-end finishes. Our upcoming pipeline consists of multi-billion-dirham projects, and we are looking for a Senior Cost Control Engineer to protect the financial performance of these developments from design through handover. The Role As Senior Cost Control Engineer, you will be the main source of reliable cost information on our projects. You will track, forecast and report project costs across a large, complex portfolio, and you will give senior leadership, including the CEO, clear, accurate and timely insight into project status, financial exposure and risks. This is a high-visibility position for someone who is comfortable presenting numbers with confidence and challenging assumptions when needed. Key Responsibilities Develop, manage and maintain project cost control systems, budgets and cost baselines for mega-scale developments Prepare monthly cost reports, cash flow forecasts and cost-to-complete projections Produce concise executive dashboards and status reports for the CEO and senior management, highlighting key risks, variances and decisions required Monitor committed costs, actual costs and forecast final cost against approved budgets Track and analyse variation orders, change requests and claims, and assess their impact on budget and programme Review contractor and consultant payment applications and reconcile them against contracts, progress and budget Work with the Quantity Surveying, Procurement, Design and Project Management teams to ensure cost alignment through all project stages Support value engineering exercises and cost-saving initiatives without compromising luxury quality standards Review tender evaluations, contract awards and buyout savings Carry out cost benchmarking and trend analysis across projects Identify cost risks early and recommend mitigation strategies Maintain a full audit trail of cost data, assumptions and approvals Improve cost control processes, tools and reporting standards across the organisation Requirements Education and experience Bachelor’s degree in Civil Engineering, Quantity Surveying, Construction Management or a related field Minimum 5 years of cost control experience with large construction or development companies in the UAE Proven experience on mega projects (multi-billion value) is essential Experience on luxury residential developments (villas, apartments, branded residences) with high-end finishes Exposure to complex amenities such as beach clubs, golf courses, hospitality or large-scale infrastructure is strongly preferred Demonstrated experience preparing reports for, and presenting directly to, C-level executives Professional certification such as PMP, CCP/CCT (AACE), RICS or MRICS Experience with master-planned communities and phased developments Technical skills Strong knowledge of cost control methodologies, forecasting and earned value management Solid understanding of UAE construction contracts (FIDIC) and variation and claims processes Advanced Excel skills and experience with dashboards and data visualisation (Power BI preferred) Proficiency in cost management and planning tools such as Primavera P6, Oracle, SAP or equivalent Strong analytical ability with high attention to detail Soft skills Excellent written and verbal communication, with the ability to turn complex data into clear insights Confidence, credibility and integrity when engaging with senior leadership Strong organisational skills and the ability to manage multiple projects under pressure Proactive, ownership-driven mindset Benefits The opportunity to work on landmark, multi-billion luxury developments Direct exposure to executive leadership A competitive salary and benefits package A dynamic, growing organization with strong career progression

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features. This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you. WHAT YOU'LL DO - Lead and grow a team of engineers building the core AI platform that powers Harvey’s products - Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems - Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives - Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence - Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities - Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt - Contribute to code and architecture reviews, unblock teams, and lead by example when needed - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment WHAT YOU HAVE - 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments - 5+ years of experience as a backend, infrastructure or ML/AI engineer - A track record of leading high-performing, engaged engineering teams - Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines) - Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them - Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts - Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems - A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. About the Role Billing is mission-critical to Render’s success. Every service, database, and workload that runs on Render ends up on an invoice, and customers trust us to get that invoice right. As Senior Engineering Manager for the Billing team, you’ll lead the organization that makes sure customers are billed accurately, reliably, and transparently as Render scales. You’ll set the multi-quarter strategy and own the technical direction, people, and execution behind Render’s usage-based billing systems: how usage is captured, how it flows through our data pipelines and third-party billing platforms, and how it lands as a correct charge. You’ll be Engineering’s senior partner to Finance, Product, and Customer Experience leadership, turning pricing, reporting, and customer needs into a roadmap your team can ship. This role is for a seasoned technical leader who wants to build the organization, the leaders, and the systems that keep billing right as usage, pricing, and our customer base keep growing. What You’ll Do - Lead and grow the Billing engineering team, which owns how Render turns platform usage into accurate charges: usage capture, data pipelines, third-party billing platforms (Orb, Metronome, Stripe, or similar), and invoicing - Own the roadmap for Render’s billing systems, from usage metering through invoicing, reconciliation, and financial reporting - Drive billing correctness and reliability: build the monitoring, reconciliation, and testing that catch errors before customers do - Partner with Finance, Product, and Customer Experience to align the roadmap with pricing, reporting, and customer needs - Hire and develop engineers to support planned team growth, while keeping the team’s focus clear as billing scope expands - Make key architectural decisions, balancing long-term billing platform investment against near-term pricing launches and fixes - Build a strong performance management and career development practice for a team that includes senior ICs What We’re Looking For - Strong people leadership — the top priority for this role - Hands-on enough to review code, prototype, and contribute directly when it helps the team - Comfort operating in ambiguity, with adaptability and a growth mindset - Proven experience building and scaling teams, ideally growing a group from a handful of engineers into a larger org - Experience managing engineers; including senior and staff engineers; hiring, and performance management - Hands-on experience with usage-based billing, payments, or other revenue-critical systems, including third-party platforms like Orb, Metronome, or Stripe - Ability to partner closely with Finance, Product, and Customer Experience without needing to fill those functions yourself - Strong business instincts, with the ability to connect engineering investment to billing accuracy, revenue, and customer trust - Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment Nice-to-Haves - Experience leading a billing platform migration or a pricing model change. - Familiarity with financial reconciliation and reporting processes. - Background in distributed systems or event-driven architectures. - Experience building for developer platforms, cloud infrastructure, or DevTools. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. What you will do - Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs. - Build representative benchmarks and regression tests for real meeting audio. - Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology. - Use error analysis to decide which model, data, or pipeline changes will improve transcription quality. - Improve inference across accuracy, latency, throughput, reliability, and cost. - Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved. - Experience training, fine-tuning, or adapting deep learning models using real-world audio data. - Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience deploying, monitoring, and maintaining production ML systems. Nice to have - Multilingual ASR, accent robustness, domain adaptation, or diarization. - Streaming speech recognition and low-latency inference. - MLOps, evaluation, or data pipelines for speech systems. - Experience with meeting transcription, voice agents, or enterprise speech products. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Hybrid About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware. Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data. What you will do - Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior. - Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches. - Build data collection and evaluation pipelines using real-world and simulated robotics data. - Integrate models with robotics software, sensors, actuators, and control systems. - Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes. - Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment. What you will need - 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems. - Hands-on experience developing and evaluating ML-enabled systems on physical robots. - Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework. - A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area. - Experience with robotics data, simulation, experiment design, and evaluation on real hardware. - Practical understanding of sensors, actuators, control loops, latency, and hardware debugging. Nice to have - Vision-language-action models, multimodal foundation models, or generative world models. - Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms. - Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection. - C++, low-level control, tactile or force sensing, or real-time systems. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production. What you will do - Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods. - Improve how agents plan, use tools, manage execution, and recover from errors. - Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures. - Generate and curate training data, including agent trajectories and difficult cases from target workflows. - Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks. - Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method. - Experience building agent systems involving tool use, multi-step execution, and error recovery. - Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost. Nice to have - Reward modeling or verifier-based training. - Long-context training, memory systems, retrieval, or context compression. - Distributed training or high-performance LLM serving. - Experience delivering agents for complex enterprise, coding, or research workflows. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the US or Canada. About the Team Reddit's Ads ML Efficiency team is focused on making machine learning workloads faster, more scalable, and more cost-efficient, enabling our Ads ML teams to develop, launch, and scale increasingly sophisticated models. This role sits at the intersection of ML workloads, execution systems, and engineering leverage. The engineer will partner closely with ranking teams, serving owners, and ML Platform to identify important bottlenecks, implement targeted improvements, and connect execution and systems improvements to measurable end-to-end outcomes. What you’ll do Own end-to-end performance optimization initiatives for high-impact production ML workloads, from bottleneck identification and implementation through validation and production rollout. Profile and diagnose ML performance bottlenecks across model execution, frameworks, runtimes, memory, CPU/GPU utilization, and infrastructure using rigorous benchmarking and measurement. Design and implement performance improvements involving inference execution, runtime behavior, batching, memory management, precision, compiler integration, custom operators, kernels, or other relevant techniques. Improve ML training and serving efficiency and scalability, optimizing latency, throughput, hardware utilization, and cost while maintaining model quality and production reliability. Support faster and safer model launches through performance benchmarking, load testing, regression detection, and launch-readiness improvements. Partner with model engineers and platform teams to identify high-leverage opportunities, integrate optimizations safely, and validate measurable end-to-end impact. Build reusable performance capabilities, including benchmarks, tooling, optimization patterns, and engineering guidance that accelerate future model development and deployment. Contribute to technical direction and mentor engineers through hands-on collaboration, code reviews, performance debugging, and knowledge sharing. What we’re looking for Hands-on ML performance engineering experience: Demonstrated ability to diagnose and implement meaningful performance improvements in production or production-relevant ML workloads. Deep expertise in at least one ML performance area, such as inference execution, ML runtimes, compiler integration, GPU/kernel optimization, memory systems, or training execution. Strong profiling and benchmarking skills: Ability to identify bottlenecks systematically, establish reliable baselines, and validate measurable end-to-end improvements. Strong software engineering fundamentals: Experience implementing, debugging, testing, and maintaining performance-sensitive systems, with proficiency in Python and relevant systems programming technologies. ML systems understanding: Familiarity with production ML frameworks and the performance trade-offs across model execution, runtime, memory, hardware, and infrastructure. Production engineering judgment: Ability to balance performance improvements with numerical correctness, model quality, reliability, maintainability, and safe rollout. Good customer and platform instincts: can solve concrete bottlenecks while keeping maintainability, adoption, and future reuse in mind. Strong communication: able to explain tradeoffs clearly to engineers and partner teams. Nice-to-have Experience optimizing large-scale inference or training workloads, particularly in recommendation systems, ranking, search, or retrieval. Experience with PyTorch, including performance optimization using technologies such as Dynamo, Inductor, AOTI, torch.export, or custom operators. Experience with inference runtimes, GPU execution, or performance technologies such as TensorRT, ONNX Runtime, CUDA, Triton, LLVM/MLIR, or equivalent systems. Experience with hardware-aware optimization, including batching, memory management, operator fusion, mixed precision, quantization, or accelerator efficiency. Experience with distributed-training performance, including GPU utilization, communication, data loading, memory efficiency, or training step-time optimization. Experience building performance benchmarks, profiling tools, regression detection, launch-readiness capabilities, or cost observability toolings for ML workloads. Experience working across ML modeling, serving, and platform infrastructure teams. Specialized compiler internals or custom CUDA/Triton kernel development are valuable but not required. We value demonstrated performance engineering depth, sound technical judgment, and measurable workload impact over familiarity with any particular tool or framework. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. Webflow is looking for a Lead Platform Engineer, Identity & Access to own how our workforce, devices, and automations authenticate and get access to what they need. Okta is our primary identity platform, and you’ll take it from a tool that works to a platform that is deliberately architected, governed, and easy to build on. You’ll partner extensively with Security on policy, risk, and detection, bringing the engineering depth to turn their requirements into systems that run reliably. Making access safe by default without slowing people down is the central challenge of the role. ABOUT THE ROLE: - Location: Remote-first (United States) - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $232,000 - 290,000 - Zone B: $217,600 - 272,000 - Zone C: $204,800 - 256,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Senior Director, Information Technology AS A LEAD PLATFORM ENGINEER, IDENTITY & ACCESS, YOU’LL: - Own the identity architecture and roadmap for workforce identity, with Okta as the core platform, including build versus buy decisions - Bring our Okta tenant under proper management, with configuration standards, hardening, change control, and configuration as code (Terraform, APIs, Okta Workflows, or scripts where the platform falls short) - Automate the identity lifecycle from joiner to leaver, using our HRIS as the source of truth and SCIM to downstream applications - Build paved roads for application onboarding, including standard SSO patterns, provisioning templates, and federated access to our cloud and source control platforms, so app owners can integrate without platform team involvement - Design the access model: role based access control (RBAC), least privilege, request and approval workflows, and access reviews, with tooling that answers “who has access to what, and why” and produces audit evidence automatically - Strengthen how access is granted through phishing resistant MFA, device trust and risk signals, and governed non human identities (service accounts, tokens, OAuth grants, and AI tools and agents), and stream identity telemetry to Security for detection and response - Serve as the top escalation point and primary responder for identity incidents and outages should they arise, including on call coverage for critical identity services, post incident reviews, and log analysis with Security - Manage the Okta vendor relationship, licensing, and cost ABOUT YOU: REQUIREMENTS: - Minimum of 8 years in identity, platform, or infrastructure engineering, including ownership of a workforce identity platform at meaningful scale - Deep hands on experience architecting an enterprise identity provider, with Okta strongly preferred - Fluency in SAML, OIDC, OAuth 2.0, and SCIM, including debugging at the token and assertion level - Experience with identity governance, including RBAC design, HRIS driven lifecycle automation, and meeting audit requirements - Strong grounding in Zero Trust and identity based attacks, including device trust and the security of non human identities - Scripting ability (Python, JavaScript, or similar) and infrastructure as code experience, such as Terraform - Clear communication with senior and executive audiences, including driving architecture decisions - Nice to have: experience governing identities for AI tools and agents, and Okta certifications You’ll thrive as a Lead Platform Engineer, Identity & Access if you: - Design like an attacker, asking how every control could fail or be abused, and respect that one policy change can lock out the whole company - Get results with Security, HR, and application owners through influence, not authority - Care as much about adoption as correctness - Bring order to an under managed environment without waiting for a perfect plan - Use AI tools with good judgment - Are comfortable as the lead identity expert, mentoring others and setting the standard - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Bowling Green, OH; Brownsville, WI Corporate Office  ; Houston, TX  ; Itasca, TX  ; Milwaukee, WI Project/Field Engineer Michels Pipeline, Inc. Location: Various | Full-time | Travel Required Constructing and maintaining safe, reliable and environmentally sound utility lines is an opportunity to demonstrate what integrity looks like. Michels Pipeline, Inc. builds our reputation with each project we meticulously construct.  We use our skills, talents and experience to do what will best serve the communities in which we are trusted to work. Regardless of size or scope, we approach all pipeline projects with a complete commitment to performing at the highest level. Our work improves lives. Discover how a career at Michels Pipeline, Inc. can change yours. Position Summary As a Project Engineer at Michels Pipeline, Inc. , you will support the successful execution of pipeline construction projects by assisting with planning, coordination, and field operations. This role offers hands-on experience in all phases of project delivery, including scheduling, cost tracking, quality control, and collaboration with field crews and project managers. You will gain practical exposure to how complex pipeline projects are built safely, efficiently, and to the highest standards. Why Michels Pipeline, Inc.? We consistently ranked among the top 10% of Engineering News‑Records Top 400 Contractors We’re a national leader in pipeline with a long track record of success. Our steady, strategic growth revolves around a commitment to quality. Family‑owned and operated organization with long‑term stability We invest an average of $5,000 per employee per year in training and career development. We perform high-impact, essential work that supports homes, businesses, and communities. A culture where everyone shares responsibility for safety , regardless of title We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why You? You like to surround yourself with dedicated, value-driven people. You thrive on new challenges and evolving technologies. You think “we’ve always done it this way” is not a good enough reason. You want to know your efforts are recognized and appreciated. You like making your own decisions—with the right support. You want to be part of a team that improves lives through essential infrastructure. What It Takes Bachelor of Science in Construction Management or Engineering preferred or relevant industry experience Prior Internship or Full-Time experience working in a construction field based or related role Experience with job cost tracking software, estimating software, Trimble Business Center and Primavera (preferred) Strong verbal and written communication skills A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record Travel (must have the ability to commit to long term onsite projects) Join a company that powers progress. Be a part of Michels Pipeline, Inc.— where you don’t just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Systems Support Engineer , you will help ensure the stability, reliability and production parity of non-production environments. You will work closely with development, QA, release management and production operations teams to make sure these environments match production closely, stay available and support high-quality releases. You will help reduce outages, and build systems and processes that engineers, testers and stakeholders can trust while contributing to a collaborative culture. Qualifications & Skills Bachelor’s degree in computer science, engineering, or related STEM field 2+ years of experience managing and troubleshooting Linux-based Demonstrated knowledge of network communications, including use of multicast networking Experience applying operational best practices in Dev and UAT settings Experience with incident response and root cause analysis Prior experience supporting electronic trading systems preferred. Ability to coordinate multiple priorities under time pressure Excellent written and verbal stakeholder communication skills Experience with scripting / automation using languages such as Python, Bash, Go, Java, or JavaScript Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ) Exposure to AI coding assistants and agentic tools (e.g., Claude Code, Codex), including hands-on experience using them to automate operational tasks or accelerate development and troubleshooting What You’ll Be Working On Increasing and maintaining parity between lower and production environments by standardizing tooling, infrastructure and configurations Implementing monitoring, alerting and incident response for UAT and Development Reducing environment downtime and improving reliability during testing Tracking and reporting on environment performance, including outage metrics and improvements delivered Collaborating with production operations and development teams to share best practices and ensure consistent operations Ensuring the status and stability of lower environments to deliver operational excellence What we Value: Intent over Instruction: We set goals; you determine the best way to achieve them Reliability & Accountability: You own your domain and follow through on commitments Continuous Improvement : You’re always looking for ways to align, monitor, and optimize environments Collaboration: You build strong partnerships across teams and disciplines About You: You enjoy diagnosing problems and thinking creatively about solutions You enjoy hands-on operational problem-solving and are curious about the bigger picture You thrive in fast-moving delivery pipelines where uptime and stability are mission-critical You are enthusiastic and keen to learn; you learn by doing and feel comfortable diving into unfamiliar technology The annual base salary range for this position is $115,000 to $175,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.