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Location: Zurich, Switzerland 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: London, United Kingdom 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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.

Требования: — Студент или выпускник бакалавриата по направлениям ECE, Electrical & Electronics, Computer Science или смежным.

Location: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is seeking an exceptional Senior international accountant, to join its fast growing Accounting team. This role will be a significant contributor to the success of the accounting department. The ideal candidate has in-depth knowledge of generally accepted accounting principles, proficiency in accounting systems, and strong motivation to contribute to the achievement of efficient financial close and reporting processes. You pay great attention to detail, deliver results under deadlines and work effectively cross-functionally in a rapidly changing environment. The ideal candidate is someone who strives for operational excellence. You invest time in defining and documenting processes to not only proactively address current process gaps but to also to get ahead of new processes required to support Fivetran’s continued growth. What You’ll Do As Senior international accountant you will: Be responsible for our Indian entity and support multiple other entities across EMEA & APAC from a US GAAP and statutory reporting perspective Prepare and post journal entries in Netsuite for these entities as well as monitor postings done by other accounting functions Hands-on performance of month-end close activities. Make sure that all deadlines are met and proactively review balances before closing Oversee the preparation of financial statements in accordance with IFRS or applicable local GAAP Support the Statutory Audit process and ensure timely and accurate preparation of audit deliverables Review the work of our outsourced partners and closely manage service levels Identify and drive process improvements and automation initiatives to reduce manual effort and drive toward Global standardization Manage processes related to invoicing, tax payments, statistical filings and other obligatory filings Demonstrate strong technical accounting acumen to be able to conclude on accounting treatment of complex transactions; Partner with key stakeholders including Tax, FP&A, Legal and Sales & Marketing teams Support ad-hoc projects as required Skills We’re Looking For Recognised accounting qualification (ACA, CIMA, ACCA) Minimum 4 years of PQE, preferably gained within a Big Four firm and / or a multinational organization Solid knowledge of US GAAP, IFRS and local GAAPs Strong computer and analytical skills Excellent planning, analytical, interpersonal and communication skills Demonstrable experience as a team player, who is comfortable working as part of a larger team located across multiple geographic locations Ability to work independently, to work under pressure and to handle several projects at once A desire to work in a hyper-growth, quick paced, exciting business environment # LI-Hybrid #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 85 mobile network operators in 58 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts while continuing your studies. This part-time experience is designed for students who want to gain hands-on industry experience alongside their academic life. What you will have An opportunity to work with some of the brightest minds in the Software & Telecom industry Hands-on opportunities to learn from the best and put your knowledge and skills to work A mentor to help you build and develop your potential A friendly, open and collaborative environment that thrives on learning and practicing Job Description Involve in dedicated on the job training program on Telecommunication and Software products with the help of a mentor guiding you. Understand and improve the functionalities of mobile network automation solutions based on mobile operator’s needs & requirements world-wide Design user interface, concept sketches, and high-fidelity wireframes by using design tools Test and validate solutions based on technical requirements and user experience Requirements for the position Pursuing an engineering degree on 3rd class in relevant university departments such as Electrical, Electronics, Communications, Computer or Software Engineering Excellent verbal and written communication skills in English is must Energetic, enthusiastic, curious and open for improvement Programming (SQL, Python etc.) knowledge is a plus Good understanding of mobile telecommunication technologies is a plus Eligible to work in Turkey Apply today and unlock your potential!

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Ajman, United Arab Emirates Apt Resources is looking for an experienced Workshop Manager to oversee the day-to-day operations of an automotive workshop in Dubai. The successful candidate will be responsible for managing workshop activities, supervising technicians, coordinating vehicle repairs and maintenance, and ensuring all work is completed to a high standard. The ideal candidate should have strong technical knowledge, excellent workshop management skills, and the ability to lead a team while maintaining quality, safety, efficiency, and customer satisfaction. Key Responsibilities Manage the daily operations of the automotive workshop. Supervise, coordinate, and support mechanics, technicians, and workshop staff. Plan and monitor vehicle repairs, servicing, maintenance, and technical jobs. Inspect vehicles and identify mechanical, electrical, and diagnostic requirements. Allocate jobs to technicians based on skills, workload, and job requirements. Monitor the progress and quality of workshop work. Ensure vehicles are completed within agreed timelines and quality standards. Coordinate with customers regarding vehicle condition, repairs, progress, and requirements. Prepare or review job estimates, parts requirements, and workshop schedules. Coordinate the sourcing and availability of spare parts, tools, and materials. Maintain accurate records of vehicles, repairs, parts, and workshop activities. Ensure proper use, maintenance, and availability of workshop equipment and tools. Maintain high standards of workshop cleanliness, organization, and safety. Identify and resolve technical and operational workshop issues efficiently. Train, guide, and motivate workshop team members. Ensure all work follows appropriate technical, safety, and quality procedures. Monitor workshop productivity, job completion, and overall operational efficiency. Support the business with technical knowledge and recommendations regarding vehicle repairs and maintenance. Requirements Proven experience as a Workshop Manager, Workshop Supervisor, or similar automotive management position. Diploma, Associate Degree, or Bachelor’s Degree in Automotive Technology, Mechanical Engineering, Automotive Engineering, Vehicle Maintenance, or a related field. Strong hands-on knowledge of automotive repair, servicing, and maintenance. Good understanding of mechanical, electrical, and automotive systems. Previous experience supervising and managing workshop technicians and staff. Strong problem-solving, planning, and organizational skills. Ability to manage multiple vehicles, jobs, and workshop activities simultaneously. Good communication, leadership, and team management skills. High attention to detail and commitment to quality and customer satisfaction. Ability to monitor workshop productivity, job progress, and completion timelines. Ability to coordinate spare parts, tools, equipment, and workshop resources. Ability to work independently and take responsibility for day-to-day workshop operations. Candidates must be currently based in the UAE and available to attend an in-person interview if shortlisted. Benefits Salary: AED 13,000-15,000

Требования: — BE — Computer engineer — IOT — Mechatronics — Electronics & Communication Engineer — Electrical Engineer — Power Electronics

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Umm Al Quwain, United Arab Emirates; Fujairah, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Ajman, United Arab Emirates Apt Resources is looking for an experienced Automobile Storekeeper to join a prestigious Classic cars Auto workshop in Dubai. The role involves overseeing spare parts, tools, automotive materials, and equipment required for vehicle restoration, maintenance, and workshop operations. The ideal candidate should have strong knowledge of automotive parts, excellent inventory control skills, and experience working in a premium automotive or workshop environment. Key Responsibilities: Manage and organize inventory of automotive spare parts, components, tools, consumables, and workshop materials. Receive, inspect, and verify incoming parts and materials against purchase orders and delivery documents. Maintain accurate stock records, inventory systems, and documentation. Issue parts and materials to technicians and workshop teams based on approved requests. Monitor stock levels and coordinate replenishment to avoid shortages or delays. Identify, label, and store parts properly to maintain quality and accessibility. Maintain records of rare, vintage, and classic vehicle parts with proper tracking. Coordinate with procurement, workshop, and maintenance teams for parts availability. Conduct regular stock checks, cycle counts, and annual inventory audits. Ensure proper storage conditions to prevent damage or deterioration of parts. Follow health, safety, and housekeeping standards within the storage area. Assist in identifying suitable replacement parts or alternatives when required. Requirements Minimum 3–5 years of experience as an Automotive Storekeeper, Parts Coordinator, or similar role . Experience working with luxury vehicles, classic cars, restoration workshops, or premium automotive brands is highly preferred. Strong knowledge of automotive spare parts, tools, and workshop equipment. Familiarity with vehicle components such as engine parts, electrical systems, body parts, and mechanical items. Experience using inventory management systems or ERP software. Good understanding of stock control procedures and documentation. Ability to read parts catalogs, invoices, and technical documents. Strong organizational skills with attention to detail. Ability to work under pressure and support workshop operations. Good communication skills and ability to coordinate with technicians and suppliers. Knowledge of safety standards and proper storage practices. Benefits AED 3,000 all-inclusive

Location: Troy, MI Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. LG Magna e-Powertrain USA, Inc . is a newly established US subsidiary headquartered in South Korea, formed through a joint venture by LG Electronics Vehicle Solution and Magna International, created to bring new synergies based on LG’s electric vehicle component capabilities and Magna’s experience in the traditional automotive industry. Located in Southeast Michigan, LG Magna USA provides engineering, sales, and quality solutions for developing various electric vehicle products such as drive motors, power conversion devices, and related integrated systems. LG Magna USA, as part of the global LG Magna team, strives to become the global No.1 e-Mobility solution partner by providing the highest value technologies and products, securing profitable growth together with customers, and contributing to a sustainable society. Our team takes pride in driving progress by developing innovative solutions for electric vehicle industry customers. Powered by a culture of passion, teamwork, customer focus, initiative, and creativity, we are pushing the boundaries every day. With the philosophy that "people are the source of corporate competitiveness," we are committed to actively seeking out top talent and investing in career growth and development to retain exceptional people. We invite people to join our mission to create innovative solutions leading the trend in creating an eco-friendly, clean future through the electric vehicle industry, to drive a better life. Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for a work visa. Overall Responsibilities: Our Sales Account Manager position is a collaborative and highly impactful role that will be responsible for all commercial deliverables, tasks, and negotiations for assigned accounts. A successful candidate will be an experienced, self-driven and results-oriented engineer with a passion for sales account management to support our various OEM Business. The Sales Account Manager role requires the ability not only to understand Account Management but also, Accounts Receivable and Supply Chain Management tasks. This position’s responsibilities include: leading commercial issues and negotiations with the OEM buyer, resolving pricing discrepancies and payment issues, and supporting the resolution of supply chain issues. As the Sales Account Manager you will be required to work in cross functional teams which include customers, global HQ, development engineering, suppliers, quality and manufacturing plants. Major Tasks Listed Below: Act as the main point of contact between our customers and global HQ Manage programs/projects through the full commercial life cycle (i.e. sourcing to mass production) including the management engineering changes for commercial and timing impact Lead Commercial and Price negotiations which include annual cost reduction negotiations Lead quote generation and submission through business case development and approval processes to ensure understanding of cost breakdowns and profitability analysis Collaborate with HQ team to track & report Monthly revenue, Profitability of projects, Business plan, inform leadership of impact of demand changes Conduct Contract and General Terms & Conditions (GT&C) reviews Set up new customers in our internal system and update and maintain a master price file Oversee and maintain supplier portal management Ensure tooling requirements are met and proper invoicing is generated for on-time approvals and installation Support the Supply Chain Management team to ensure supplier readiness and escalation of supply chain issues. Especially, the resolution of supply chain shortages and other issues that would impact launch timing Manage all prototype, pre-production, mass production, accessory and service requirements Lead the submission process for sales administration approval to ship all non-mass production material Qualifications: Bachelor’s Degree in Engineering, Business or other related technical discipline Minimum of 6 years of experience of account management in the automotive industry Ability to travel up to 10% to customer sites and for business meetings is required. A valid drivers' license is required for local travel. Preferred Qualifications: Prior account management experience with an Electric Vehicle (EV) Tier 1 supplier Proficiency in supplier and customer portals such as GM SupplyPower Knowledge of commercial issue management such as: pre-production components, contract negotiations, purchasing orders, pricing, tooling, engineering changes and supply chain development Ability to be Self-driven, results oriented with a strong sense of initiative in tackling complex tasks Ability to learn quickly with the willingness and flexibility to learn and adapt to company working culture and processes Excellent written/verbal communication and organizational skills Ability to understand customer needs and to probe for answers, and then determine a solution and advocate that solution to the customer Ability to work with customers and internal stakeholders and make sure all deliverables are met Capacity to identify risks and raise issues to relevant stakeholders Superior attention to detail Ability to work under pressure and to maintain deadlines Skill in MS Office skills (Excel, PowerPoint, and Word) Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for a work visa. Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Troy, MI Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. LG Magna e-Powertrain USA, Inc. is a newly established US subsidiary headquartered in South Korea, formed through a joint venture by LG Electronics Vehicle Solution and Magna International, created to bring new synergies based on LG’s electric vehicle component capabilities and Magna’s experience in the traditional automotive industry. Located in Southeast Michigan, LG Magna USA provides engineering, sales, and quality solutions for developing various electric vehicle products such as drive motors, power conversion devices, and related integrated systems. LG Magna USA, as part of the global LG Magna team, strives to become the global No.1 e-Mobility solution partner by providing the highest value technologies and products, securing profitable growth together with customers, and contributing to a sustainable society. Our team takes pride in driving progress by developing innovative solutions for electric vehicle industry customers. Powered by a culture of passion, teamwork, customer focus, initiative, and creativity, we are pushing the boundaries every day. With the philosophy that "people are the source of corporate competitiveness," we are committed to actively seeking out top talent and investing in career growth and development to retain exceptional people. We invite people to join our mission to create innovative solutions leading the trend in creating an eco-friendly, clean future through the electric vehicle industry, to drive a better life. Overall Responsibilities: This Senior Manager of Business Planning role leads business planning, forecasting, budgeting, cash flow management, risk analysis, and executive reporting to support strategic and operational decisions. The position is part of the leadership team and will analyze market intelligence, financial, operational, and workforce data to develop accurate financial models and performance insights to strengthen reporting processes and communicate business results.  The role will be integral in communicating the business outlook to local management and our Korean headquarters and the parent company. Major Tasks Listed Below: Provide market and business intelligence on automotive and EV industry trends, OEM customer outlooks, competitive developments, and other relevant market dynamics to support strategic decision-making. Analyze customer programs, vehicle and production volumes, pricing, profitability, and other key business drivers within an automotive or B2B manufacturing environment. Incorporate market, customer, competitive, and industry insights into mid- and long-term business planning, forecasting, and strategic growth initiatives. Assess business opportunities, risks, and sensitivities through scenario analysis to inform investment decisions, resource allocation, and mitigation strategies. Develop and maintain short-, medium-, and long-term business plans, budgets, forecasts, cash flow plans, and risk outlooks. Analyze and forecast financial, economic, operational, and workforce data to provide timely, data-driven insights for strategic and operational decision-making and business scenario planning. Lead complex financial analyses and business plan evaluations, providing management with recommendations that support company objectives and performance improvement. Serve as a cross-functional business partner, bringing a customer and commercial perspective to align Sales, Engineering, Purchasing, Operations, and Finance on business priorities and execution. Prepare and deliver comprehensive management reports and presentations on business operations, financial performance, forecasts, and outlooks in English and Korean. Develop and implement improved processes, procedures, and methods for financial analysis, reporting, performance tracking, and presentations; monitor their effectiveness and support KPI and organizational development. Monitor revenue, expenditures, and financial performance; maintain accurate records of assets, liabilities, and other transactions, including deferred revenue, in accordance with the company’s revenue recognition policy. Qualifications: Bachelor’s degree in finance, Accounting, Business Administration, Economics, or a related field. Minimum of eight years of professional finance experience. Fluency in English and Korean, conversational or higher level of expertise is desirable to interpret the law and regulation in both US and Korea. Demonstrated ability to provide market and business intelligence and translate customer, competitive, and industry insights into strategic business plans, forecasts, and growth initiatives. Strong understanding of B2B manufacturing business drivers, including customer programs, pricing, profitability, volume, revenue, cost structure, and operational performance. Advanced skills in mid- and long-term business planning, forecasting, opportunity assessment, risk analysis, and scenario modeling built on the analysis financial and business data. Ability to evaluate business plans, investment opportunities, resource requirements, sensitivities, and risks, and develop clear recommendations for management decision-making. Knowledge of budgeting, cash flow planning, financial performance tracking, revenue recognition principles, and the maintenance of accurate financial records. Strong analytical and problem-solving skills, with the ability to interpret complex data, identify trends and key business drivers, and convert findings into actionable insights. Advanced proficiency in financial modeling, forecasting, data analysis, and reporting tools, including Excel spreadsheet and PowerPoint presentation software. Ability to develop and improve processes, procedures, performance measures, reporting methods, and analytical approaches to support KPI improvement and organizational development. Demonstrated ability to lead cross-functional initiatives and collaborate effectively with Sales, Engineering, Purchasing, Operations, Finance, Korean headquarters. Preferred Qualifications: Master of Business Administration or a relevant professional credential, such as Project Management Professional, Certified Public Accountant, Chartered Financial Analyst, or another recognized finance certification. Working knowledge of International Financial Reporting Standards and U.S. Generally Accepted Accounting Principles. Experience with business intelligence or enterprise planning systems such as SAP. Strong knowledge of the automotive industry, including OEM customers, vehicle programs, production volumes, market trends, competitive dynamics, and relevant industry developments. Strong customer and commercial orientation, with the ability to understand business priorities and align stakeholders around strategic objectives and execution. Applicants must be currently authorized to work in the United States on a full-time basis. The employer will not sponsor applicants for a work visa. Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, software as a medical device, wellness and longevity, member insights, and emerging health signals. We combine continuous physiological data with clinical research and domain expertise to ship features that are scientifically grounded and useful to millions of members. As a Staff Applied Machine Learning Scientist on the Health team, you will turn ambiguous clinical and product questions into defensible studies, models, and evaluation plans on WHOOP's longitudinal wearable and member data (physiological signals, behavioral logs, labs and integrations, and related streams). You will set the methodological bar for a Health domain. You will partner with Machine Learning Engineers on the path to production, and with Product, clinical, and Digital Health partners on what the data can and cannot support. Success in this role requires applied algorithm and statistical craft, the judgment to operate across Health problem types, and Staff-level leadership: launching domain work independently, raising the quality and velocity of the people around you, and making clear prioritization calls under uncertainty. RESPONSIBILITIES - Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources. - Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes. - Set the methodological and quality standard for a Health domain: reusable evaluation practices, review expectations, and documentation that others can inherit. - Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation, labeling strategy, feature and representation choices, and offline evaluation that holds up under real-world noise, missingness, and population shift. - Partner with Machine Learning Engineers to translate validated methods into production-ready systems, making modeling choices that account for scalability, reliability, latency, cost, monitoring, and (where relevant) controlled-release constraints. - Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory, quality): pressure-test performance requirements, study design, and evidence quality, and push back when a claim is not supportable. - Raise the quality and velocity of the scientists and engineers around you through design reviews, mentorship, and the judgment of when to coach someone else to champion a problem versus taking it yourself. - Communicate trade-offs, risks, and results clearly to technical, clinical, product, and leadership audiences; prevent misalignment early; drive decisions with evidence and a clear point of view on domain direction. QUALIFICATIONS - Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field. - 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain. - Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient. - Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data. - Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain. - Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations. - Strong Python skills with reproducible scientific / ML engineering hygiene (clean, reviewable code; comfort with stacks such as NumPy/SciPy/pandas, scikit-learn, PyTorch/TensorFlow). - Clear, high-signal communicator who can move between deeply technical method discussions and cross-functional conversations with Product, clinical partners, and leadership. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data. You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware. RESPONSIBILITIES - Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights. - Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions. - Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors. - Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics. - Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency. - Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware. - Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability. - Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement. QUALIFICATIONS - 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization. - Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management. - Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes. - Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics. - Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners. - Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Sensor Intelligence Engineer II to join the Sensor Intelligence team and help advance the next generation of biomedical optical sensing technologies. In this role, you will translate optical sensing concepts into validated systems and algorithms that enable meaningful physiological insights for WHOOP members. Working at the intersection of AD, hardware, firmware, data science, and human physiology, you will combine theoretical modeling, hands-on experimentation, and data analysis to inform future sensing capabilities and product development. RESPONSIBILITIES: - Drive the evaluation and development of next-generation optical sensing concepts, including the definition of technical requirements, design tradeoffs, and validation criteria - Analyze raw time-series and multidimensional optical sensor data and construct signal processing work flows or platform for new physiological sensing etc. - Develop, validate, and improve physiological sensing principle using physics modeling and/or experimentation. - Analyze time-series and multidimensional biomedical sensor data to assess performance, identify artifacts and failure modes, and generate actionable recommendations for system and algorithm improvements - Develop or improve the multiphysics numerical simulation platform to optimize sensor performance or evaluate potential sensing concepts. - Collaborate with partners across Hardware, Firmware, Data Science, Research, and Product to communicate technical findings, influence design decisions, and translate research into scalable WHOOP capabilities QUALIFICATIONS: - Master’s degree or PhD in Electrical Engineering, Biomedical Engineering, Applied Physics, Optics, or a related technical field, or an equivalent combination of education and practical experience - 3+ years of relevant industry or research experience developing biomedical optical sensing systems, signal processing methods, or algorithms - Demonstrated depth in: Analyzing raw time-series and multidimensional optical sensor data, including but not limited to: PPG signal AC, DC, Perfusion Index, Systolic Foot, Systolic Peak, Dicrotic Notch, Diastolic Peak, Crest Time, Diastolic Time, etc. - Experience analyzing time-series or multidimensional data from biomedical sensors, such as PPG, ECG, IMU, EMG, acoustic sensors, or medical imaging systems - Proficiency in Python, C, or C++ for data analysis, algorithm development, prototyping, or system implementation, with the ability to communicate technical findings clearly and deliver high-quality work as requirements evolve - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. PREFERRED QUALIFICATIONS: - Familiarity with biomedical optics or biophotonics, with expertise in one or more areas such as diffuse optical spectroscopy, Raman spectroscopy, tissue optics, experimental optics, or a related field. - Experience with physiological sensing principles, understanding of the human circulation system and respiration system. - Hands-on experience designing, building, and characterizing optical sensing systems or laboratory experiments using components such as LEDs, lasers, photodetectors, lenses, collimators, and optical filters.

Location: Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Discover, analyze and assemble large, complex data sets that meet functional / non-functional business requirements. Build ETL pipelines for a wide variety of data sources using (mostly) SQL and Python in an AWS environment. Work with stakeholders including the Executive, Product and Engineering to assist with data-related technical issues and support their data needs. Develop data tools for business departments that assist them in building and optimizing our product into an innovative industry leader. Maintain and optimize existing data models and architecture. Discover and employ meanignful AI-driven optimizations in your day-to-day tasks. Partner with cross-area teams to support self-service data initiatives. What makes you stand out: Strong Experience with relational SQL and NoSQL databases, including Postgres/Redshift, MySql/MariaDB/Aurora and MongoDB. Experience with Python. Experience with AWS cloud services: S3, Athena,Redshift, Glue. Experience building, optimizing and supporting ‘big data’ data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Ability to predict and validate performance with 10x, 100x, 1000x larger volumes and manage bottlenecks in advance. Experience supporting and working with cross-functional teams in a dynamic environment. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Free parking with a designated space, free electric bikes, and public transportation cards. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Collaborate with data analysts & stakeholders to understand in-depth the business requirements, design expected outcomes and user stories. Gather, integrate, and clean up data from various Nexo-based and external sources. Implement statistical and/or machine learning models to drive actionable insights. Automate existing models to run on a daily, weekly, monthly basis. Monitor and improve data and model quality. Visualize model results, integrate with Tableau dashboards & extract business insights. Discover and employ meanignful AI-driven optimizations in your day-to-day tasks. Partner with cross-area teams to support self-service data initiatives. What makes you stand out: 3+ years experience as Data Scientist. Theoretical knowledge of common statistical and machine learning algorithms - e.g. predictive, clustering, classification, optimization algorithms. Proven ability for practical application of such models to solve business problems - e.g. forecasting, customer segmentation, customer engagement, driver impact analysis. Experience in exploring, integrating, and modelling massive data sets (100+ million of rows with dozens of variables). Proficiency in SQL, Python, PySpark. Reporting and Data Visualization skills will be considered a plus. Working experience with AWS solutions will be considered a plus. Working experience with APIs will be considered a plus. Experience in finance, banking and/or crypto will be considered a plus. Experience with NLP techniques, analyzing and classifying large amounts of text data will be considered a plus. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com At Nexo, design is a main pillar. Together with Oblik Studio , our founding design partner, we work as one team across brand, product, and marketing. Joining Nexo design team means joining Oblik Studio too - a united creative force shaping how design moves the company forward. Your role: Execute motion projects end-to-end: from storyboard and concept through final delivery. Create high-quality motion graphics, animations, and dynamic visual storytelling for campaigns, product explainers, social content, and more. Edit video using tools like After Effects, Premiere, DaVinci, and similar. Collaborate daily with brand, content, product, and marketing teams to deliver cohesive storytelling across formats. Experiment with new creative approaches - from traditional craft to AI-powered workflows - and bring proactive ideas to the table. Partner with other top agencies on international campaigns and contribute to shaping Nexo’s evolving visual identity. Help refine motion and design systems, ensuring consistency and scalability across the brand. What makes you stand out: A strong portfolio showcasing advanced graphic design, motion design, and visual storytelling. 5+ years of experience in motion design. Deep expertise in Adobe After Effects and strong video editing skills; proficiency in Figma, Photoshop, Illustrator. Mastery of design fundamentals: layout, rhythm, typography, and visual hierarchy. Experience working within brand systems and expanding them through motion. Clear communicator who collaborates well and takes creative ownership. Delivers with focus, craft, and high standards. Curiosity for AI and eagerness to use new tools to push creativity and speed. 3D or interactive motion experience (Blender, Cinema 4D, Spline, etc.). Experience syncing animation with audio or doing sound design. Familiarity with AI tools for motion and video production. Understanding of fintech, crypto, or tech audiences. Experience working with shared Figma libraries, components, or design tokens. Nexo Benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com At Nexo, design is a main pillar. Together with Oblik Studio , our founding design partner, we work as one team across brand, product, and marketing. Joining Nexo design team means joining Oblik Studio too - a united creative force shaping how design moves the company forward. Your role: Execute design projects end-to-end: from concept through delivery. Develop and refine Nexo’s visual identity across campaigns, social media, and events. Collaborate daily with content, brand, product, and marketing teams to deliver cohesive storytelling. Partner with top agencies on international campaigns. Use AI-powered tools to elevate both speed and quality. Help refine our systems in Figma. Share ideas, feedback, and help raise creative standards across the team. What makes you stand out: 5+ years in digital or brand design with a strong portfolio. Expert in Figma , Photoshop , Illustrator . Strong visual sense: typography, motion, and storytelling. Excellent communicator and collaborator. Thrives under creative pressure - delivers with focus and craft. Curiosity for AI and eagerness to use it to work smarter. Motion (After Effects) or 3D design (Blender, Cinema 4D, etc.). Understanding of fintech, crypto, or tech audiences. Experience collaborating on large-scale campaigns. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.