USASenior Hardware Systems Engineer
3 нед. назад
USASeniorOnsite
hardware debuggingperformance evaluationvalidationhigh-performance computing
Senior Hardware Systems Engineer responsible for debugging, validation, performance evaluation and production support of high-performance compute systems at a vertically integrated AI infrastructure company.
Будет плюсом
- Experience influencing hardware or system configuration decisions based on workload performance data (e.g: HW/SW co-design, platform tuning studies).
- Deep experience with RDMA, RoCE, CXL, NVLink or fabric-level performance analysis.
- Experience with inference serving frameworks, training frameworks, or ML compiler/runtime stacks.
- Familiarity with both x86 and ARM-based server platforms.
- Experience building observability, diagnostics, or fleet-level performance and reliability systems.
- Experience introducing new compute technologies into production cloud or large-scale datacenter environments.
- Understanding of infrastructure efficiency, power, cooling, performance-per-dollar, or total cost of ownership considerations.
- Background in sustainable or energy-efficient hardware design practices.
- Advanced certifications or coursework in AI/HPC hardware systems.
Условия
- Industry competitive pay
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit; $300 per month
- Compensation will be paid in the range of $170,000 - $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
- is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Другое
- is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join , you join a team that is building the future, faster.
- We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
- We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at .
- We are seeking a Senior or Staff Hardware Systems Engineer to strengthen ’s Hardware Systems Engineering team and close critical skill gaps in debugging, validation, performance evaluation and production support of high-performance compute systems. In this role, you will participate in the full hardware lifecycle – from prototype bring-up to large-scale production while driving automation, deep issue resolution, and reliability across Cloud’s GPU- and CPU-based infrastructure. You will be collaborating with hardware, software, infrastructure, and vendor engineering teams while working across platform bring-up, validation and performance characterization. Your work will directly impact ’s ability to deploy and operate sustainable, AI-first compute systems with world-class
- Drive the end-to-end lifecycle of next-generation compute platforms, including evaluation, bring-up, validation, deployment, and production readiness.
- Define and execute performance characterization and validation strategies for CPU, GPU, and accelerated computing platforms.
- Conduct in-depth workload characterization studies across training and inference - dense, MoE, long-context, and multimodal models to understand compute, memory, communication, and I/O behavior on target platforms.
- Translate workload and platform insights into cluster-level tuning and configuration recommendations: topology, parallelism strategy, scheduling, power, and software stack settings to maximize delivered performance and efficiency.
- Build and maintain workload performance profiles and reference configurations that guide how clusters are deployed, tuned, and scaled for specific model families and workload classes.
- Analyze system and workload performance, identify bottlenecks, and work across hardware and software layers to drive improvements.
- Lead complex system-level debugging across compute, memory, storage, networking, accelerators, and platform firmware.
- Partner with vendors and internal engineering teams on prototyping, qualification, NPI, and production readiness of new technologies.
- Collaborate across hardware, firmware, networking, software, infrastructure, reliability, and operations teams to resolve complex platform issues.
- Use data and system-level insights to influence platform architecture, technology selection, hardware roadmaps, and long-term infrastructure strategy.
- 5-6+ years of experience in hardware systems engineering, platform engineering, performance engineering, ML systems engineering, infrastructure engineering, or related areas.
- Hands-on experience with large-scale GPU or accelerated computing infrastructure for AI/ML or HPC workloads.
- Hands-on experience with distributed training and/or inference workloads at scale, including parallelism strategies and performance tuning across the hardware/software stack.
- Experience with workload benchmarking, performance profiling, and system performance optimization across hardware and software layers.
- Strong understanding of modern server and accelerator architectures, including CPU, GPU, memory, storage, networking, and high-speed interconnects such as PCIe, InfiniBand, or NVLink.
- Hands-on experience with system bring-up, validation, performance characterization, and root-cause analysis of complex hardware/software issues.
- Experience developing automation, testing, diagnostics, or data-analysis frameworks using Python, Shell, or similar languages.
- Ability to analyze system behavior using telemetry, benchmarks, profiling tools, and other quantitative data.
- Experience working across multiple engineering disciplines, including hardware, firmware, software, networking, and infrastructure teams.
- Strong analytical and problem-solving skills with the ability to operate effectively in ambiguous and rapidly evolving environments.
- Excellent technical communication skills and experience collaborating with internal engineering teams, customers, and external technology partners.
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.