СберЗдоровье — аккредитованная IT-компания и одна из крупнейших Digital Health платформ в России. Компания развивает новое направление AI-native продуктов: мобильное приложение, ИИ-помощник, персонализированный риск-профиль и сервисы для улучшения понимания здоровья пользователя.
Ищут Middle / Senior Python Backend Developer. Основной фокус роли — backend-сервисы, API, интеграции, работа с данными пользователя и production-контур для AI-сценариев. Роль не связана с ML Engineer или research, а требует сильной backend-инженерии с использованием FastAPI, Pydantic, PostgreSQL, Redis, интеграций, надежности, безопасности и observability. Работа в кросс-функциональной команде с ML, Mobile, Frontend/PWA, QA, SA и Product.
Задачи:
— Разрабатывать и проектировать backend-сервисы на Python / FastAPI.
— Проектировать и поддерживать REST API для мобильного приложения, PWA, риск-профиля и ИИ-помощника.
— Описывать и поддерживать контракты API: request/response schemas, validation, error model, versioning.
— Работать с Pydantic, PostgreSQL, Redis и при необходимости S3-compatible storage.
— Интегрироваться с AI/ML-слоем: n8n-прототипы, FastAPI/FastMCP-сервисы, LLM API, RAG/context, Qdrant, traces.
— Строить observability: structured logs, trace/request id, metrics, dashboards, error tracking.
— Писать поддерживаемый код, покрывать критичную логику тестами, участвовать в code review и технических обсуждениях.
Требования:
— Опыт backend-разработки на Python от 3 лет.
— Хорошая база в технологиях веба: HTTP, контейнеры, хранение, веб-серверы.
— Практический опыт разработки production API на FastAPI, Django, Flask или аналогичном backend-фреймворке; FastAPI будет сильным плюсом.
— Уверенное владение Python.
— Здравый смысл в использовании ИИ-агентов.
— Хорошее понимание PostgreSQL: схемы, связи, индексы, транзакции, миграции, профилирование запросов.
— Опыт проектирования REST API и умение договариваться о контрактах с mobile/frontend/SA/QA.
— Опыт работы с микросервисами.
— Умение писать тесты для критичной backend-логики.
— Готовность работать в продуктовой команде с быстро меняющимися требованиями, где API влияет на mobile, PWA и AI-сценарии.
Будет плюсом:
— Опыт работы с очередями: Kafka/RabbitMQ, Celery.
— Понимание зоны ответственности AI/ML и классического Python-сервиса.
— Знание AI/ML инструментов и подходов.
— Опыт в MedTech, HealthTech, FinTech или других доменах с чувствительными данными.
Требуется инженер, который понимает продуктовый сценарий, умеет уточнять требования, думает контрактами, состояниями, ошибками и edge cases, строит надежные интеграции с backend, mobile, PWA и AI-слоем, пишет поддерживаемый код, умеет работать с логами, trace id и production-инцидентами, аккуратно относится к медицинским и персональным данным.
Условия:
— Возможность строить AI-native health-продукт с нуля.
— Быстрый путь от backend-решения до мобильного пользовательского сценария.
— Сложные задачи на стыке backend, AI, медицинского контекста и пользовательских данных.
— Работа в кросс-функциональной команде с Product, TL, ML, Mobile, Frontend/PWA, QA, SA, DevOps/MLOps и медицинскими экспертами.
— Удаленный формат внутри РФ или офис в Москве.
— Корпоративная техника.
— Медицинская программа с телемедициной, очными приемами, психологами, стоматологией, лабораторными и инструментальными диагностиками.
— Оплачиваемые курсы английского языка.
— СберУниверситет и оплата профильного обучения и курсов.
— Поддержка спорта и wellbeing-программы.
Location: In Office - San Jose, California
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
We're building a dedicated reviewer team to evaluate complex, real-world agentic AI workflows, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. This isn't routine content moderation: reviewers work through ambiguous, multi-step scenarios where judgment calls matter as much as checklists. You'll operate inside isolated test environments, apply structured rubrics, and help calibrate what "safe and policy adherent agent behavior" actually looks like.
What You’ll Own:
Review multi-step agent task trajectories against rubric-based criteria covering task success, safety, and policy adherence
Evaluate whether an agent respected user agency and informed consent — not just whether it followed literal instructions
Apply privacy guardrails when reviewing tasks involving sensitive or personal data
Work inside isolated test environments, including verifying environment resets between test runs to prevent cross-contamination
Flag and escalate safety-relevant or ambiguous findings through defined escalation paths
You’ll Thrive in This Role If You Have:
Bachelor's degree or equivalent practical experience
2–5+ years in quality review, QA/QC, trust & safety, content moderation, data annotation, or a similarly judgment-intensive review role
Strong written communication – you can justify a scoring decision clearly enough for someone else to audit it
Comfort with ambiguity and structured decision-making under a rubric, rather than needing a fixed rulebook for every case
Baseline understanding of AI/ML concepts and how AI agents complete tasks (can be learned through onboarding, but some familiarity helps)
The expected hourly salary range for this position is $50-$55p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: In Office - San Jose, California
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. Reviewers work through ambiguous, multi-step scenarios inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny. The Quality Lead is the person accountable for whether that output is any good.
This is a senior individual contributor role. You will not manage the reviewers — that sits with the Engagement Manager — but you set the standard they are held to. You own the audit sample, run calibration, keep the rubric usable as real cases stress it, and train reviewers into the work. You are also the deputy: when the Engagement Manager is out, the engagement runs on you.
The quality approach here is not fully defined. We expect you to build it in partnership with the customer's quality leads, or at minimum to take what they have, run it honestly, and come back with specific recommendations for where it falls short.
What You’ll Own:
Own the quality system for the engagement: audit design, sampling strategy, scoring standards, and how quality gets measured and reported
Build that system with the customer's quality leads where none exists, and where one does, operate it and recommend concrete improvements based on what the data shows
Re-score a sample of reviewer output as a second pass; identify error patterns rather than isolated mistakes
Run calibration sessions: surface disagreement, work it to resolution, and document the reasoning so the outcome holds for future cases
Maintain rubric health — flag criteria that are ambiguous, overlapping, or silent on cases the team keeps hitting, and drive revisions through the customer
Train and onboard new reviewers, including nesting plans, ramp criteria, and the judgment call on when someone is production-ready
Give the Engagement Manager the evidence behind performance conversations: who is drifting, on what, and whether coaching is working
Report quality trends to the Engagement Manager and, alongside them, to the customer
Deputize for the Engagement Manager on delivery operations during absences
Maintain information security, privacy, and facility access practices required by the customer's onsite environment
You’ll Thrive in This Role If You Have:
Bachelor's degree or equivalent practical experience
4+ years in quality assurance, quality management, or senior review work within annotation, evaluation, trust and safety, or a similarly judgment-intensive domain
Direct experience owning a quality function: you designed the audit, not just executed someone else’s
Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review
Hands-on familiarity with agentic systems: tool use, multi-step task execution, sandboxed environments, and common failure modes
Demonstrated ability to run calibration with peers — including holding a position under disagreement and changing it when the argument is better
Strong written communication; able to document a scoring standard clearly enough that a reviewer can apply it and an auditor can check it
Comfortable in spreadsheets and in a dashboarding tool, with enough Python or SQL to pull and slice your own data (you will not be asked to build interfaces)
Experience training or onboarding reviewers into rubric-based work
The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: In Office - San Jose, California
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
We are standing up a dedicated onsite team to evaluate complex, real-world agentic AI workflows for a frontier AI customer. The Engagement Manager owns this team and this engagement: a group of ten reviewers and one QA lead working inside isolated test environments, assessing whether AI agents complete tasks safely, respect user intent and consent, and hold up under close scrutiny.
This is a delivery leadership role with a strong customer-facing component. You are the customer's primary day-to-day contact at the site, accountable for throughput, quality, and turnaround, and responsible for identifying where the engagement should grow next. You will not be scoring trajectories as a daily task, but you need enough technical depth to audit the team's work yourself and defend a scoring decision in a room with the customer's technical leads.
What You’ll Own:
Own end-to-end delivery for the onsite team: throughput, quality, turnaround, and capacity against committed volumes
Manage and develop a team of eleven, including hiring, onboarding, performance management, and retention
Serve as the primary onsite point of contact for the customer's program and technical leads; run recurring reviews, report on delivery metrics, and resolve issues before they escalate
Audit reviewer output directly — sample trajectories, check rubric application, and assess whether scoring rationale would survive customer review
Partner with the QA lead on calibration cycles, quality metrics and evaluation, and rubric refinement; arbitrate disagreements that calibration does not resolve
Own the escalation path for safety-relevant and ambiguous findings, including judgment on what reaches the customer and how quickly
Identify expansion opportunities within the account: adjacent workstreams, new task types, additional capacity, and scope the work with internal delivery and commercial teams
Forecast staffing and cost against the engagement's commercial model, and flag variance early
Maintain information security, privacy, and facility access practices required by the customer's onsite environment
You’ll Thrive in This Role If You Have:
Bachelor's degree or equivalent practical experience
5+ years of professional experience, including direct management of a delivery team of 10–20 people
Track record as the customer-facing owner of a services or delivery engagement with an enterprise or technology client, including metrics reporting and issue escalation
Significant experience with AI/ML evaluation work: annotation, red-teaming, RLHF, model or agent evaluation, or trust and safety review
Ability to read rubric-scored work critically and form an independent view of whether a score is correct
Strong written communication; able to produce reporting and escalation memos that a technical customer will accept without rework
The expected hourly salary range for this position is $75-85 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote, DC
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The federal government generates more data every day than most organizations manage in a decade, streaming continuously from satellites, unmanned systems, sensors, and warfighters across every domain and classification level. At the same time, AI is transforming how that data gets used, from massive training data lakes to real-time decision-making at the tactical edge. MinIO sits at the center of both problems. We are the data foundation that lets federal and defense customers store, move, and act on their data at any scale, in any environment, including the most austere and disconnected ones on the planet. This isn't incremental infrastructure work; it's the layer that decides whether the right data reaches the right decision-maker at the right moment.
The Sr Regional Sales Manager, Federal at MinIO will lead new business development for our Federal practice in an individual contributor capacity. MinIO Federal is a channel-first organization. The right candidate has a working network of FSI, ecosystem, and channel partner relationships to activate on day one.
What You Will Do:
Drive Pipeline Through Partners:
Actively develop and close new business across DoW, IC, and civilian agencies by activating and expanding relationships with existing and new federal channel partners and systems integrators.
Leverage Existing Relationships:
Bring and activate your own network of federal customer, partner, and FSI contacts to accelerate pipeline from day one. Established relationships with agencies, primes, or federal resellers are a core requirement of this role.
Own the Sales Cycle:
Manage the full sales cycle through close, maintaining a healthy, accurately forecasted pipeline.
Articulate MinIO's Value in a Federal Context:
Tailor MinIO's value proposition to federal buyers and their unique constraints, budget cycles, compliance requirements, and procurement vehicles, spanning both traditional data infrastructure and emerging AI/ML, inference, and agentic AI use cases, and equip partners to do the same.
Cross-Functional Collaboration:
Work closely with our Federal field architect, channel, and marketing resources to align technical, partner, and go-to-market strategy, and ensure a seamless customer and partner experience.
Accurate Forecasting:
Maintain transparent, accurate forecasts of pipeline and sales activity to support planning and the broader Federal growth model.
Your Skills and Experience:
Established Federal Relationships: Existing, active relationships with federal systems integrators, resellers, and agency contacts that can be brought to bear immediately.
Federal Sales Experience: 7+ years of experience in federal or public sector sales, with a demonstrated track record of sourcing and closing new business through partners and channel relationships.
Channel-Led Sales Motion: Deep familiarity with partner-led federal sales models, deal registration, teaming agreements, and working alongside resellers and SIs rather than solely direct-to-agency.
Domain Knowledge: Background in technology sales, ideally cloud-native infrastructure, storage, and/or AI/data platforms; understanding of federal buyer constraints (procurement vehicles, budget cycles, compliance).
Startup/Growth-Stage Experience: Comfortable operating in a lean, fast-moving environment without the infrastructure of a large, established sales org.
Challenger Approach: Skilled at identifying and challenging the status quo, demonstrating clear business value, and closing competitive deals.
Excellent Communication: Strong verbal and written communication skills, able to represent MinIO credibly to agency stakeholders, partner executives, and internal leadership alike.
Clearance: Active security clearance, or the ability to obtain one.
Educational Background: BA or BS in a related field or equivalent experience.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion.
Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage.
Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems.
Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion.
The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions.
Key responsibilities:
Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation
Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation)
Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building
Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when
Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced)
Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic
Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours')
Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules
Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy
You may be a good fit if you have:
Due to U.S. Government contract requirements, this position requires U.S. citizenship and an
active TS/SCI security clearance with a current full-scope polygraph
(a TS/SCI with CI polygraph may be considered where crossover is supportable)
Must have prior experience working with US national security
(defense and/or intelligence)
agencies
—ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators)
5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week
Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly
Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership
Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders
Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems
A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$350,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Palo Alto; New York; San Francisco
Workplace: Remote
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.
The Role
As a member of the US Talent Acquisition team focused on Research and technical hiring, you will be instrumental in building and scaling Mistral's US-based research and engineering teams from the ground up. Joining early means you'll help shape both our technical recruitment strategy and operations, partnering closely with Research leadership across Research Science, Research Engineering, and adjacent technical functions. Your work will directly influence Mistral's frontier-model ambitions by ensuring we find and engage exceptional researchers and engineers who will drive Mistral's growth in the US. In this role, you'll also foster a strong candidate experience and help establish technical recruiting best practices as we expand across the US.
What You Will Do
Technical Stakeholder Partnership
- Partner deeply with technical leaders — from Research Scientists and Research Engineers to team leads and hiring managers — to understand hiring needs, define role specs, and identify the right technical talent
- Own full-cycle recruitment across Research Science and Research Engineering, with flexibility to support other technical roles as they come along
- Advise hiring managers on market mapping, leveling, comp positioning, and the competitive landscape for US research and engineering talent
- Translate the nuances of each technical role into compelling, accurate candidate outreach
End-to-End Technical Recruitment
- Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, competitive technical roles
- Source passive and active candidates across US research and engineering talent pools — from PhD students and postdocs to experienced researchers and engineers at leading AI labs, universities, and technology companies
- Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations
- Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for top research talent
Candidate Experience & Selling Mistral
- Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory
- Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and research credibility — to differentiate us against better-resourced labs
- Provide candidates with real insight into our research agenda, compute access, publication culture, and the specific impact of their role
- Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome
Recruiting Operations & Data-Driven Improvement
- Develop and refine technical recruiting processes, tools, and documentation to improve outcomes and efficiency
- Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role) and propose targeted solutions
- Build and maintain market maps, competitive intel, and talent pools for key US research and engineering segments
- Standardize technical interview rubrics, scorecards, and debrief practices across US technical hiring teams
Raising the Bar
- Collaborate with Research leadership and the broader Talent team to continuously elevate our hiring standards
- Contribute to defining and evolving our technical talent acquisition strategy in the US as we scale our research presence
- Partner on employer-brand and outbound sourcing initiatives — including academic pipelines, conference presence, and open-source community engagement — that position Mistral as a destination for top research and engineering talent
What We're Looking For
- 6+ years of recruiting experience, including 2+ years in a startup or high-growth environment, with a focus on Research Science and Research Engineering roles
- Demonstrated ability to independently hire across the technical stack — from Research Engineers to Research Scientists, and senior research talent
- Deep network and sourcing expertise in US research and engineering talent markets, with credibility in AI/ML and ideally connections across top labs and universities
- Track record of hiring in competitive, candidate-scarce markets where top researchers have multiple offers
- Experience working across multiple US markets, including relocation and visa-driven hiring
- Willingness to work on other roles as needs come up
- Comfort navigating ambiguity and switching between strategic planning and hands-on execution
- Strong written and verbal communication skills, with the ability to influence peers and senior technical stakeholders without direct authority
- Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate
- Professional experience with modern recruiting tools such as Ashby
- Familiarity with the AI/ML research landscape and the ability to credibly discuss frontier model capabilities, research directions, and publications with technical candidates
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: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We’re seeking a Senior Communications Manager to strengthen 1Password’s position as a trusted authority for identities, credentials, and access across modern organizations, including the people and agents they rely on.
This role will shape clear, credible narratives about identity and access management, unified access, and the role of AI in the future of security. Through media relations, contributed content, events, speaking engagements, and rapid response, this person will build trust with developer, business, and security audiences.
The ideal candidate brings technical fluency, a strong understanding of the security market, and the ability to translate complex ideas into compelling communications that advance 1Password’s technical credibility and strategic ambition.
This role reports to the Director of Communications.
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 6+ years of experience in communications, PR, or marketing, in B2B tech; cybersecurity, AI, or developer-focused experience strongly preferred
- Enterprise security expertise: Understands cybersecurity, identity and access management, credential security, AI agents, and developer workflows. Can explain how authentication, authorization, credential use, and accountability must evolve as organizations adopt new technologies.
- Media and thought leadership experience: Has established relationships with security, technology, business, and developer media. Can partner with executive and technical spokespeople to develop distinctive points of view and turn them into compelling stories, bylines, briefings, and speaking opportunities.
- Strategic storytelling and writing skills: Develops communications strategies tied to business priorities and translates complex topics into clear, credible content for technical and business audiences.
- Cross-functional collaboration: Works effectively with marketing, product, engineering, security, legal, sales, executive teams, and external agency partners to align messaging and deliver integrated programs.
- Ownership, adaptability, and prioritization: Drives work forward without waiting for perfect clarity, brings structure to ambiguity, and balances planned work with rapid-response needs. Makes sound decisions, communicates tradeoffs, and follows through.
- AI-forward judgment: Uses AI to work faster without outsourcing strategic thinking or editorial judgment. Knows what to hand off, what to own, and how to recognize when AI-generated work needs refinement.
What you can expect:
- Media and executive communications: Build media strategies, maintain trusted journalist relationships, support executive and technical spokespeople, and develop opportunities that strengthen 1Password’s position in the market.
- Content and narrative development: Lead press releases, contributed articles, blog posts, executive communications, media materials, and other content that makes complex topics in identity, access, AI, and developer security clear and relevant.
- Event communications: Develop media and speaking strategies for major industry events, such as RSA Conference, Black Hat, and Infosecurity Europe. Coordinate briefings and interviews, support speaker preparation, and provide on-site communications support.
- Rapid response: Monitor developments in cybersecurity, identity, AI, and technology. Develop response plans, coordinate internal input, and help 1Password contribute a clear, credible perspective to important industry conversations.
- Measurement and improvement: Set goals for communications programs, monitor coverage, message adoption, and audience engagement, and use those insights to refine strategy and prioritize future work.
USA-based roles only: The annual base salary for this role is between $137,000 USD and $199,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $113,000 CAD and $164,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: Network Engineer / Sr. Network Engineer
Nebius is an AI-centric purpose-built for intensive GPU using company. As our global footprint accelerates toward multiple gigawatts of capacity, we are establishing our regional network engineering presence in the Asia-Pacific region.
We are looking for a hands-on, high-autonomy
Network Engineer / Senior Network Engineer
to drive the build-out, connectivity, and continuous production operations of our regional data centers, PoPs, and transport fabrics across APAC, with connectivity to EU/the US region and IP transit/PNI services.
In this role, you will be the boots-on-the-ground technical authority in the region. You will bridge low-level physical bringing-up with modern CLOS fabrics, collaborating closely with our core engineering teams in the EU (Amsterdam HQ) and the US within a global follow-the-sun operational model.
This position is fully remote within the APAC region (preferred hubs: Singapore, India), with periodic domestic/regional site visits and occasional sync trips to our engineering headquarters in Amsterdam.
Your Responsibilities Will Include:
End-to-End Infrastructure Ownership:
Take complete operational and deployment ownership of the network stack across APAC sites—ranging from Day-0 Out-of-Band (OOB) part of network as seed , console setups, and management L2 switches to high-scale leaf-spine frontend fabrics (EVPN/VXLAN) 400g/800g/1,6T ready and regional DCI/Backbone boundaries (BGP/MPLS/SRv6).
High-Autonomy Site Bring-up & Operations:
Act independently to triage, debug, and deliver connectivity in fast-moving, greenfield colocation environments. Make sound architectural and operational calls on short notice when counter parts oversight is offline.
Global Collaboration & Follow-the-Sun Alignment:
Partner tightly with core architecture, backbone, and platform teams in the EU and US. Own regional operational handoffs, participate in global on-call rotations, and conduct changes in coordinated regional maintenance windows.
Team Scaling & Knowledge Offloading:
As the APAC team expands, actively onboard new engineers, write rigorous runbooks, and offload operational pipelines to incoming peers to keep the team scalable.
Dynamic Execution:
Operate effectively in a high-velocity environment where quarterly business priorities, cluster locations, and deployment schedules adjust dynamically to customer demand.
We Expect You to Have:
Proven Production Routing & Switching Depth:
Solid hands-on experience operating Service Provider or Scale Data Center networks. Deep working knowledge of BGP, IS-IS (or OSPF), EVPN/VXLAN, SR-MPLS/SRv6, ECMP load balancing, and L3VPN architectures.
CLOS Fabric & L2–L4 Diagnostics:
Strong diagnostic instincts in multi-tier Clos fabrics. Practical mastery of TCP/IP, IPv4/IPv6 dual-stack environments, packet analysis (tcpdump, Wireshark), interface error rates, and QoS queue behavior.
Full-Stack Network Mindset:
Comfort with the entire operational pipeline: you are equally willing to console into an unconfigured management switch/OOB router at an unpolished greenfield site and tune BGP policy on multi-terabit edge borders (Juniper preferred, or relevant cisco/nokia).
Vendor Agility:
Practical configuration and troubleshooting experience across modern network operating systems (Juniper Junos, Cisco IOS-XR, Arista EOS, or NVIDIA/Cumulus).
Startup Agility & Timezone Flexibility:
Proven ability to self-direct, prioritize backlogs under ambiguous requirements, and maintain effective working overlap with European (CEST) and US (EST/PST) teams when critical milestones hit.
Communication:
Professional working proficiency in English, with the ability to document complex systems clearly and communicate concisely under Sev-1 pressure.
It Will Be an Added Bonus If You Have:
Practical scripting and network programmability skills (Python or Go, Git, NetBox, telemetry pipelines).
Practical exposure to high-performance AI networking: RoCEv2 (PFC, ECN/DCQCN, MCR) fabrics.
Experience interfacing directly with regional APAC telecom carriers, dark fiber providers, subsea consortiums, and local Internet Exchanges (e.g., Equinix IX, JPIX, SGIX).
Familiarity with Linux networking fundamentals, bridge-domains, and host-routed container networking (BGP-to-the-host).
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Задачи:
— приоритизировать задачи для команд Data Science, Data Engineering и аналитики
— выявлять возможности для применения AI/ML
— управлять метриками успеха и A/B-тестами
Вакансия связана с развитием продукта AI Recruiter, который автоматизирует часть задач специалистов по подбору персонала, таких как скрининг резюме и оценка навыков кандидата.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a
Field Delivery Engineer,
you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
Your responsibilities will include:
Planning & Coordination
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
Supervise racking, cabling, and powering of hardware equipment.
Ensure configuration, firmware upgrades, and integration with management systems follow standards.
Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
Document installation steps, asset data, and lessons learned for future rollouts.
Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
Support transition of deployed hardware to operations teams for steady-state management.
Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
3+ years' experience in data center, hardware, or IT field delivery roles.
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
Proven track record coordinating deployments across multiple stakeholders and vendors.
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
Ability to perform deep diagnostics across hardware, firmware (BIOS/
BMC
), and Linux (logs, drivers, storage stack basics, performance triage).
Excellent organizational, communication, and problem-solving skills.
Willingness to travel frequently (sometimes at short notice).
It will be
an added bonus
if you have:
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
Experience with Redfish and
BMC
tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
Exposure to
OCP
-based platforms and
ODM
manufacturing ecosystems.
Familiarity with change management, asset tracking, and quality-assurance processes.
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hyderabad, India
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
As a
Field Delivery Engineer,
you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications.
Your responsibilities will include:
Planning & Coordination
Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders.
Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers.
Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met.
On-Site Delivery & Installation
Supervise racking, cabling, and powering of hardware equipment.
Ensure configuration, firmware upgrades, and integration with management systems follow standards.
Work closely with vendors, contractors, and local staff during the installation phase.
Quality & Readiness
Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly.
Document installation steps, asset data, and lessons learned for future rollouts.
Establish and maintain best practices for safe, efficient hardware deployment.
Collaboration & Reporting
Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership.
Support transition of deployed hardware to operations teams for steady-state management.
Contribute feedback to improve hardware design and deployment playbooks.
We expect you to have:
3+ years' experience in data center, hardware, or IT field delivery roles.
Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling).
Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting.
Proven track record coordinating deployments across multiple stakeholders and vendors.
Ability to read and interpret technical documentation, layouts, and wiring diagrams.
Ability to perform deep diagnostics across hardware, firmware (BIOS/
BMC
), and Linux (logs, drivers, storage stack basics, performance triage).
Excellent organizational, communication, and problem-solving skills.
Willingness to travel frequently (sometimes at short notice).
It will be
an added bonus
if you have:
Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation).
Experience with Redfish and
BMC
tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts.
Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.
Exposure to
OCP
-based platforms and
ODM
manufacturing ecosystems.
Familiarity with change management, asset tracking, and quality-assurance processes.
Understanding of health, safety, and environmental standards in datacenter or industrial settings.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Paris; London
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.
The Role
Studio has been developed to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions. It provides the infrastructure enterprises need to scale their use cases, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets.
We are seeking a strong product leader to own the strategy and shape the future of Studio redefining the AI builder experience in enterprises.
You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments.
What You Will do
- Strategy & Vision - Define and evangelize the product vision, strategy and annual goals for Studio. You will be accountable for its business impact.
- Team leadership - Build the Studio PM organization: hire PMs and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews…), and develop PMs through clear growth paths.
- Delivery & Execution - Partner with engineering leadership on the roadmap to scope, sequence, and deliver value by balancing quick wins for our customers while advancing the long-term platform bets.
- Drive strategic customer discovery with the PMs under your responsibility.
- Go-to-market - Collaborate with Marketing and Go-to-market teams on positioning, pricing and packaging, launch plans, and adoption strategies.
- Partner cross-functionally and with other product leaders to ensure we have a unified customer journey.
What We're Looking For
- 10+ years in product management, with deep experience building technical platform, infrastructure or developer products for enterprise customers and AI/ML fluency
- Proven people leadership: you've hired and grown senior PMs, organized teams around clear stream ownership, and built durable operating cadences
- Experience launching and scaling products
- Proven ability to align and inspire cross-functional teams without direct authority.
- Ownership and pragmatism: low ego, high EQ, bias for action; equally comfortable crafting a strategy narrative and diving into metrics, UX details, or a customer escalation
- Strong communication skills for executives, teams, and users.
- Ability to thrive in dynamic environments where priorities shift.
- Self-directed, taking initiative to navigate unknowns and own outcomes.
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.
Role Overview:
As a Lead Customer Success Manager, you will own the post-sales strategic relationship, retention, and value realization across highest-stakes enterprise accounts. You will operate with high autonomy, driving customer outcomes while partnering with Sales to uncover and capitalize on strategic growth opportunities. You will serve as the trusted advisor and strategic lead for your portfolio, orchestrating technical and commercial counterparts including Forward-Deployed Engineers (FDEs), Account Executives, and Product leaders. You will bridge complex technical deployments with executive-level business goals to ensure customers realize maximum value and expand their footprint.
Key Responsibilities:
— Drive Strategic Account Value & Retention: accountable for net retention, customer health, and long-term strategic alignment across complex enterprise accounts.
— Partner with Sales for Account Growth: collaborate with Account Executives/Strategic Account Managers to identify expansion vectors, co-develop account plans, and position new capabilities supporting customer's technical roadmap.
— Integrate with Technical Counterparts: work closely with Forward-Deployed Engineers and technical leads to align technical delivery with business outcomes, remove friction, and accelerate time-to-value.
— Operate as an Independent Bar-Raiser: build scalable Customer Success playbooks, elevate executive engagement standards, and operate with extreme ownership without step-by-step guidance.
— Cultivate C-Suite & Technical Sponsorship: build multi-threaded relationships across business and technology functions (CIO, CISO, CTO, VPs of Engineering, Product Leads) to ensure alignment with corporate initiatives.
— Drive Business Outcomes & QBRs: lead executive business reviews demonstrating clear ROI and anchoring accounts for long-term growth.
Qualifications & Requirements:
— 10+ years in Enterprise Customer Success, Account Management, or Technical Account Management handling high-ARR, complex enterprise platforms.
— Proven commercial acumen and growth mindset with history of partnering with Sales to identify, nurture, and close upsells, expansions, and renewals in complex environments.
— Deep experience collaborating with Forward-Deployed Engineers, Solutions Architects, and product delivery teams to translate technical achievements into commercial value.
— Self-motivated leader excelling in ambiguous, fast-paced environments with full accountability for account outcomes.
— Outstanding communication and presentation skills with experience advising C-level executives on technology strategy and operational efficiency.
Nice-to-Haves:
— Domain knowledge in High Tech (cloud native, hardware/software OEMs, AI/ML platforms) and understanding of engineering-led enterprise operations and scaling.
What Success Looks Like in Year 1:
— Month 3: fully onboarded, account health assessments completed, alignment with Sales AEs and FDE teams established.
— Month 6: value-realization frameworks and executive cadence active, expansion pipelines co-developed with Sales.
— Month 12: high Net Retention Rate achieved, demonstrable business outcomes delivered, elevated Customer Success playbooks established as standard practice.
Applicants must be authorized to work in the U.S.; no visa sponsorship available.
Requirements:
— Professional software development experience (+5 years)
— C1 or higher English proficiency (spoken and written)
— Strong communication and teamwork skills
— Ability to work effectively in a remote environment
— Experience in AI/ML, Data Science, or Backend Development is preferred
Compensation:
— Starting from $3,000–$5,000 USD per month, with higher compensation based on experience, technical skills, role, and performance.
If you're interested in learning more about current or upcoming opportunities, we'd be happy to schedule a brief conversation.
Location: India
Job Overview
We are seeking an experienced
AI Solution Architect
to design and lead end-to-end enterprise AI Factory and GPU infrastructure solutions spanning compute, high-performance networking, storage, Kubernetes, cloud, and AI/ML platforms. The role requires strong expertise in
NVIDIA GPU technologies, AI workloads, scalable infrastructure architecture, security, observability, performance engineering, and capacity planning
.
Key Responsibilities
Own end-to-end architecture for AI Factory and enterprise AI solutions from requirements through production readiness.
Assess AI/ML workload requirements for training, fine-tuning, inference, batch processing, and high-performance computing.
Design GPU compute architectures including NVIDIA HGX/DGX/OEM platforms, multi-GPU systems, NVLink/NVSwitch, and GPU resource allocation.
Design high-performance AI networking using 100/200/400/800G Ethernet, EVPN/VXLAN, and leaf-spine architectures.
Design AI storage and data architectures using object storage, parallel file systems like Ceph, WEKA, , or equivalent platforms.
Define AI platform architecture across Kubernetes, HPC, container runtimes, model-serving platforms, and enterprise AI frameworks.
Establish architecture standards for security, identity, tenant isolation, data protection, observability, disaster recovery, and operational resilience.
Develop reference architectures, high-level/low-level designs, capacity models, bills of materials, technology evaluations, and implementation roadmaps.
Lead technical evaluations, proof-of-concepts, vendor assessments, and architecture review boards.
Collaborate with infrastructure, network, security, storage, cloud, data, application, and operations teams.
Define performance, availability, scalability, security, and cost objectives and validate architecture against measurable acceptance criteria.
Provide technical leadership during deployment, migration, integration, troubleshooting, and production transition.
•
Required Technical Skills
AI / ML Architecture
• NVIDIA AI Enterprise, NGC, CUDA, NCCL, DCGM, GPU Operator and AI platform ecosystem.
• PyTorch, TensorFlow, JAX and operational understanding of training and inference workloads.
• GPU scheduling, multi-tenancy, MIG/vGPU, GPU utilization and workload placement.
• LLM, generative AI, RAG, fine-tuning, model serving and inference architecture.
GPU & AI Factory Infrastructure
• NVIDIA A100/H100/H200/B200 or equivalent GPU platforms; familiarity with next-generation systems.
• NVLink, NVSwitch, PCIe topology and multi-GPU performance architecture.
• DGX/HGX/OEM GPU server architecture and lifecycle management.
• AI Factory capacity planning, rack density, power, cooling, commissioning and lifecycle strategy.
High-Performance Networking
• 100/200/400/800G Ethernet, InfiniBand, RoCEv2 and RDMA, Netris
• NVIDIA ConnectX/SuperNIC, Spectrum/Spectrum-X, Quantum and BlueField DPU technologies.
• BGP, EVPN/VXLAN, VRF, ECMP, VLAN, MTU, PFC, ECN, QoS and congestion management.
• GPU east-west traffic, GPUDirect RDMA and network performance troubleshooting.
AI Storage & Data Architecture
• Parallel file systems, object storage, NFS, NVMe/NVMe-oF and high-throughput data pipelines.
• Ceph, WEKA, VAST, Dell PowerScale, Pure FlashBlade, NetApp or equivalent technologies.
• Data lake/lakehouse concepts, metadata, lineage, data movement and data lifecycle.
• GPUDirect Storage and storage/network performance optimization.
AI Platform & Orchestration
• Kubernetes, GPU Operator, container runtimes and Kubernetes GPU scheduling.
• HPC or other equivalent workload schedulers.
• Model serving/inference platforms and MLOps platform architecture.
• API gateways, service discovery, secrets management and platform integration.
Cloud & Hybrid Architecture
• AWS and/or Azure AI infrastructure and security services.
• Hybrid cloud connectivity, IAM, private networking, cloud storage and workload placement.
• Cloud cost optimization, capacity planning and FinOps considerations for GPU workloads.
Security & Governance
• Zero Trust, network segmentation, IAM/RBAC, PAM and workload identity.
• GPU, DPU, container, Kubernetes, firmware and supply-chain security.
• Encryption at rest/in transit, secrets management, audit logging and compliance controls.
• AI-specific risks including data/model protection, tenant isolation and secure model access.
Observability & Reliability
• Prometheus, Grafana, OpenTelemetry, NVIDIA DCGM and infrastructure telemetry.
• Monitoring across GPU, CPU, memory, network, storage, power and thermal domains.
• High availability, backup/restore, disaster recovery, business continuity and failure-domain design.
• Performance engineering, bottleneck analysis, SLO/SLA design and capacity forecasting.
Architecture Deliverables
• AI Factory reference architecture and solution blueprints
• High-Level Design (HLD) and Low-Level Design (LLD)
• Network, compute, GPU and storage architecture diagrams
• Capacity, performance and scalability models
• Technology evaluation and vendor comparison documents
• Security architecture and threat-model inputs
• Bill of Materials (BOM) and infrastructure sizing
• Migration/deployment strategy and implementation roadmap
• Operational readiness checklist, runbooks and acceptance criteria
Experience & Qualifications
• 10+ years of infrastructure, cloud, enterprise architecture or solution architecture experience, with significant AI/GPU infrastructure exposure.
• Proven experience designing large-scale enterprise platforms and translating business requirements into technical architectures.
• Hands-on understanding of physical infrastructure, GPU systems, networking, storage and Linux platforms.
• Bachelor's degree in Computer Science, Engineering, Information Technology or related field preferred.
Preferred Certifications
• NVIDIA certifications or equivalent GPU/AI infrastructure credentials
• AWS Solutions Architect / Azure Solutions Architect
• TOGAF or equivalent enterprise architecture certification
• CCNP/CCIE or equivalent networking certification
• CISSP or equivalent security certification
• Kubernetes certifications such as CKA/CKAD
• Red Hat / Linux certifications
Location: Malaysia
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
Location: Singapore
Job Overview
We are seeking a highly experienced
Senior Linux Infrastructure Engineer
with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation
AI Factory / GPU infrastructure platforms
. This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments.
This is
not a DevOps-focused role
. We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in
Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms
.
The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical.
Key Responsibilities & Required Skills
Linux & Bare Metal Infrastructure
Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred)
Deep expertise in
bare metal server deployment, architecture, provisioning, and lifecycle management
Experience operating
Bare Metal as a Service (BMaaS)
platforms and large-scale infrastructure environments
Strong understanding of server hardware, including:
BIOS/UEFI
RAID controllers
Firmware management
iLO/iDRAC/IPMI
NICs and SmartNICs
HBA cards
Hardware diagnostics and troubleshooting
Experience designing, implementing, and supporting enterprise Linux infrastructure at scale
AI Factory & GPU Infrastructure
Experience deploying and managing
GPU-accelerated infrastructure
for AI/ML workloads
Understanding of NVIDIA GPU technologies including:
A100, H100, H200, B200, or equivalent GPU platforms
NVIDIA DGX and OEM GPU servers
GPU provisioning and lifecycle management
GPU monitoring and performance optimization
Knowledge of AI Factory architecture and infrastructure requirements
Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads
Understanding of:
GPU resource allocation and scheduling
Multi-GPU systems
GPU networking requirements
High-bandwidth, low-latency infrastructure design
Familiarity with NVIDIA ecosystem technologies such as:
CUDA
NCCL
GPUDirect Storage
NVIDIA Fabric Manager
NVIDIA Base Command (preferred)
Enterprise Storage & Data Platforms
Advanced Linux storage administration:
LVM
XFS, EXT4
NFS
iSCSI
Fibre Channel SAN
Multipath I/O
Strong hands-on experience with
Ceph
, including:
Cluster architecture
MON, OSD, MDS
RBD, CephFS, RGW
Capacity planning
Performance tuning
Failure recovery
Experience with high-performance AI storage platforms such as:
WEKA
VAST Data
Dell PowerScale
Pure Storage FlashBlade
NetApp
Understanding of:
NVMe-over-Fabrics (NVMe-oF)
RDMA
GPUDirect Storage
Parallel file systems
AI data pipelines
Networking & Infrastructure
Strong networking knowledge:
Bonding
VLANs
Routing
MTU optimization
DNS
DHCP
Experience with high-performance data center networking:
100G/200G/400G Ethernet
RoCE
RDMA
Spine-Leaf architectures
Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies
Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting
Operations & Reliability
Experience with high availability, clustering, and disaster recovery
Strong troubleshooting skills across:
Linux operating systems
Hardware platforms
GPU infrastructure
Networking
Enterprise storage
Experience supporting mission-critical production environments
Bash and Python scripting for automation and operational efficiency
Experience creating operational documentation, runbooks, and infrastructure standards
Understanding of AI infrastructure design and reference architectures
AI cloud integration for workloads
SOP and runbook development and maintenance
Incident, problem, and capacity management
Business continuity and disaster recovery planning for AI workloads
Proactive risk identification and mitigation to avoid business impact
Nice to Have
Kubernetes infrastructure (especially AI/ML and GPU integration)
KVM, VMware, OpenShift Virtualization, or similar virtualization platforms
Ansible automation
NVIDIA Base Command Manager
Slurm or HPC workload schedulers
Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry)
Data Center Infrastructure Management (DCIM) tools
IPAM solutions
AWS, Azure, or hybrid cloud exposure
We Are Not Looking For
Candidates whose experience is primarily CI/CD pipeline engineering
Engineers focused mainly on Terraform, GitOps, or application delivery pipelines
Cloud-only administrators with limited bare metal, storage, or hardware experience
Professionals whose primary expertise is software development rather than infrastructure engineering
Ideal Candidate
Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.
In Office - San Jose, California
leadIn Office - San Jose, California
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоPalo Alto; New York; San Francisco; Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for top research talent; Experience working across multiple US markets, including relocation and visa-driven hiring; 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
УдалённоseniorRemote (United States | Canada)
Singapore; Startup Agility & Timezone Flexibility:; Proven ability to self-direct, prioritize backlogs under ambiguous requirements, and maintain effective working overlap with European (CEST) and US (EST/PST) teams when critical milestones hit
Singapore
Hyderabad, India
Paris; London; 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
УдалённоleadThis is a remote position that must be based in PST or MST
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