NVIDIA Logo

NVIDIA

Senior Embedded System Software Engineer – Platform Execution Lead

Posted 8 Hours Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
224K-357K Annually
Senior level
In-Office
Santa Clara, CA, USA
224K-357K Annually
Senior level
Lead SoC and platform bring-up for edge AI products, owning Linux system software roadmap, developing and debugging bootloaders, kernels, drivers, and factory provisioning tools. Coordinate cross-functional teams, run execution reviews, track risks and schedules, analyze lab/factory/field data to improve stability and yield, and mentor junior engineers to scale delivery.
The summary above was generated by AI

NVIDIA leads in accelerated computing, AI, and graphics, powering data centers, cloud services, modern consumer devices, and autonomous systems. The Linux for Edge team develops system software for NVIDIA’s latest edge AI platforms. These platforms enable robotics, autonomous machines, industrial automation, smart cities, and more. We seek a Senior System Software Engineer / Platform SW Execution Lead who blends outstanding technical expertise with solid project and program management skills. This role drives SoC and platform bring-up for edge AI products from concept through high-volume deployment.

What you’ll be doing:

  • Lead SoC and platform bring-up for NVIDIA’s newest edge AI platforms, from early prototypes through production, owning the overall execution plan, achievements, and success criteria.

  • Drive the end‑to‑end platform Linux software roadmap for edge devices: define deliverables, prioritize work, coordinate cross‑functional dependencies, and ensure timely execution.

  • Build, develop, and debug low-level Linux system software (bootloaders, firmware, BSPs, kernel, device drivers) and reference images tailored for NVIDIA edge AI SoCs and boards.

  • Act as the technical program owner for platform SW bring-up. Run regular execution and bring-up reviews. Track issues and risks. Maintain schedules. Provide clear status updates and ways to raise critical issues to collaborators.

  • Work closely with hardware, silicon, board build, validation, and factory teams to root‑cause complex hardware/software interaction issues on edge platforms and drive resolution to closure.

  • Define and develop factory test and provisioning software, automation, and diagnostic tools to support high‑volume manufacturing and deployment of edge AI systems, enhancing yield and field quality.

  • Analyze logs and data from lab, factory, and field (failure modes, performance, reliability) to continuously improve platform stability, robustness, and test strategy for edge use cases.

  • Mentor junior engineers, establish guidelines for Linux bring-up, debugging, project tracking, and documentation, and help scale the Linux for Edge team’s ability to deliver results.

What we need to see:

  • Bachelor’s degree or Master’s degree or equivalent experience in Computer Engineering, Electrical Engineering, Computer Science, or related field, plus substantial industry experience in system/embedded software.

  • 12+ years of relevant software development experience 

  • Demonstrated experience managing SoC or complex board/platform bring‑up in a technical lead role, preferably for edge or embedded Linux products, covering multiple hardware revisions or platforms.

  • Expert proficiency in Linux system and kernel development: solid C/C++ abilities, background with kernel, device drivers, BSPs, and the entire boot sequence on embedded/edge platforms.

  • Deep understanding of CPU and SoC architectures, memory and power subsystems, high‑speed interfaces (PCIe, DDR, etc.), and board‑level build constraints relevant to edge systems.

  • Demonstrated expertise in hardware‑aware debugging using JTAG, logic analyzers, oscilloscopes, in‑circuit debuggers, and lab instrumentation.

  • Experience supporting factory and manufacturing processes such as ATE, system-level tests, and programming or provisioning flows for embedded or edge devices. Resolve test and yield issues through software changes and process improvements.

  • Strong scripting skills (Python, shell, etc.) for automation, data analysis, and tooling around bring‑up, test workflows, and edge platform provisioning.

  • Exceptional project and program management abilities: experience developing and sustaining execution plans, issue trackers, and dashboards; strong responsibility for schedule, risk management, and cross‑team communication.

  • Outstanding communication skills, with the ability to bridge technical and program perspectives and present complex topics to both engineering teams and leadership.

Ways to stand out from the crowd:

  • Experience with NVIDIA GPUs or SoCs, Jetson or similar edge/embedded AI platforms in production.

  • Prior role as a platform software execution lead, technical program manager, or similar position combining deep hands‑on Linux engineering with responsibility for program delivery on edge products.

  • Experience in platform validation, reliability testing for high-volume edge or embedded devices.

  • Experience with secure boot processes, over-the-air firmware update systems, and factory provisioning/security procedures for edge AI devices.

  • Contributions to tools or frameworks for hardware bring‑up, diagnostics, automated test systems, or execution tracking (dashboards, CI/CD) in Linux‑based edge environments.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 11, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

19 Minutes Ago
Remote or Hybrid
United States
90K-120K Annually
Junior
90K-120K Annually
Junior
HR Tech • Information Technology • Professional Services • Sales • Software
Partner with Account Executives to deliver tailored technical demonstrations, lead consultative discovery, translate integrations and security concepts for diverse stakeholders, and collaborate with product and customer success to remove technical blockers. Use data and industry knowledge to refine messaging, support revenue goals, and share best practices while staying current on trends and emerging technologies.
Top Skills: APIsChatgptGenerative AiSaaSSecurity Protocols
19 Minutes Ago
Remote or Hybrid
United States
108K-145K Annually
Mid level
108K-145K Annually
Mid level
HR Tech • Information Technology • Professional Services • Sales • Software
Partner with Account Executives to deliver technical demos, conduct discovery with multi-stakeholder buyers, design integrations and secure solutions, leverage CRM data, mitigate technical risks, provide product feedback, and mentor junior team members to drive successful SaaS mid-market sales outcomes.
Top Skills: Ai ToolsApi IntegrationsCloud PlatformsCRMGenerative Ai (Chatgpt)Sales Enablement ToolsSecurity ComplianceWebhooks
2 Hours Ago
In-Office
79K-134K Annually
Entry level
79K-134K Annually
Entry level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Perform electrical verification and mechanical integration of spacecraft subsystems, author and execute test procedures and automated scripts, conduct environmental testing (EMI/C, dynamics, TVAC), validate requirements through V&V, document and resolve non-conformances, and coordinate with technicians, quality, and engineers in a cleanroom production environment.
Top Skills: C++Computer Network ArchitectureDynamics (Vibration) TestingEmi/CEsd ProtectionLinuxPythonTvacVersion Control

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account