Senior Software Engineer, GPU Systems San Jose Regular

About this role

Senior Software Engineer, GPU Systems

Location:

San Jose

Team:

Technology

Employment Type:

Regular

Job Code:

A173047

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Responsibilities

About the Team We are a systems software team building the foundational software for large-scale GPU computing platforms. We work at the hardware/software boundary across the Linux kernel, accelerators, storage, firmware, and platform validation. We value rigorous engineering, clear interfaces, measurable performance and reliability, and upstream collaboration where appropriate. The team partners closely with hardware, architecture, product, validation, and production engineering groups to move new capabilities from design through dependable deployment. About the Role You will build and optimize low-level software that makes modern GPU accelerators usable, observable, and reliable in production. Your work may span kernel drivers, runtime components, firmware interfaces, resource management, telemetry, debugging tools, and performance-critical paths. You will own technically difficult features end to end and collaborate across the stack while remaining primarily accountable for code, validation, and production outcomes. Responsibilities

• Design, implement, and maintain production GPU system software, including kernel-driver, runtime, firmware-interface, host-management components, debugging tracing and profiling tools, and GPU system performance measurement tools
• Own accelerator features from proof of concept and architecture through implementation, pre-silicon or emulation validation, bring-up, qualification, and deployment.
• Debug complex failures involving GPUs, CPUs, memory, PCIe or interconnects, IOMMU, firmware, operating systems, runtimes, and distributed workloads.
• Profile workloads and remove bottlenecks in initialization, memory movement, scheduling, synchronization, communication, recovery, and device utilization.
• Build automated tests, telemetry, dashboards, health checks, and diagnostic tools that make failures reproducible and regressions visible.
• Partner with silicon, firmware, compiler, library, machine-learning framework, platform, validation, and production teams to deliver compatible system behavior.
• Improve resilience through error detection, isolation, retry, reset, repair, graceful degradation, and clear operational procedures.
• Review low-level designs and code, document hardware/software contracts, and share practical performance and debugging methods with peers.

Qualifications

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
• 3+ years of professional programming experience in C or C++ for low-level, embedded, kernel, driver, runtime, or performance-critical software.
• Solid understanding of computer architecture, operating systems, concurrency, memory hierarchies, DMA, interrupts, and device I/O.
• Hands-on experience with GPU or accelerator software in at least one layer, such as kernel drivers, runtimes, firmware, libraries, collective communication, or performance tooling.
• Demonstrated ability to diagnose system failures using traces, logs, profilers, debuggers, counters, and controlled experiments.
• Experience delivering and maintaining production-quality features across hardware and software teams. Preferred Qualifications
• Experience with CUDA, ROCm, Level Zero, OpenCL, Triton, CUTLASS, or comparable accelerator programming and runtime environments.
• Knowledge of GPU scheduling, memory management, virtualization, PCIe, coherent interconnects, NUMA, or multi-GPU topology.
• Experience with pre-silicon development, board bring-up, firmware communication, baseboard management controllers, or fleet qualification.
• Familiarity with distributed training or inference and topology-aware communication libraries; this is preferred rather than a universal requirement.

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $162000 - $387600 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​
3. Exercising sound judgment.​