Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of demonstrated success in designing and implementing complex system software.
- Education
- BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).
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Role Summary
The Senior System Software Engineer will develop and productize solutions for NVIDIA DRIVE autonomous vehicle platforms as the Autonomous Vehicles Platform team expands into new markets. The role spans system bring-up, agentic AI tooling, and cross-functional optimization across embedded hardware and software layers to support production-ready autonomous vehicle platforms.
What You'll Do
- Drive end-to-end software bring-up for next-generation NVIDIA DRIVE autonomous vehicle platforms from hardware power-on through...
- Build and evolve agentic AI tools and frameworks to accelerate bring-up, improve efficiency, and enable scaling of new platforms.
- Lead cross-functional teams through system-level debugging across complex embedded hardware-software ecosystems.
- Lead cross-functional teams through system-level optimization across complex embedded hardware-software ecosystems.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Complex system software design and implementation; embedded systems architecture, hardware-software co-design, integration, and platform bring-up; low-level debugging and system-level optimization; technical alignment across organizational boundaries; strong communication across global, fast-paced teams.
Required
- Complex system software design and implementation
- Embedded systems architecture, hardware-software co-design, integration, and platform bring-up
- Low-level debugging and system-level optimization
- Technical alignment across organizational boundaries
- Strong communication across global, fast-paced teams
Preferred
- Experience navigating and debugging within large-scale embedded OS codebases (e.g., BSP, middleware layers) across complex SoC platforms.
- Demonstrated track record of building agentic AI tools or LLM-driven workflows that accelerate bring-up and reduce integration cycle time.
- In-depth domain expertise in automotive networking protocols (Ethernet, CAN/CAN-FD, LIN) and real-time communication middleware.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to new markets! This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars.
What you'll be doing:
Drive end-to-end software bring-up for next-generation NVIDIA DRIVE autonomous vehicle platforms — from hardware power-on through production-ready system deployment, across OS, middleware, and application layers.
Build and evolve agentic AI tools and frameworks to accelerate bring-up, improve efficiency, and enable the scaling of new platforms.
Lead cross-functional teams through system-level debugging and optimization across complex embedded hardware-software ecosystems.
What we need to see:
BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).
5+ years of demonstrated success in designing and implementing complex system software.
Deep domain expertise in embedded systems architecture, specifically hardware-software co-design, integration, and platform bring-up.
Expertise in low-level debugging and system-level optimization within complex embedded hardware-software ecosystems.
Proven ability to drive technical alignment across organizational boundaries, synthesizing system-wide requirements from multiple stakeholders.
Strong communicator who can operate effectively across global, fast-paced teams.
A results-driven mindset to solving ambiguous technical challenges.
Ways to stand out from the crowd:
Experience navigating and debugging within large-scale embedded OS codebases (e.g., BSP, middleware layers) across complex SoC platforms.
Demonstrated track record of building agentic AI tools or LLM-driven workflows that accelerate bring-up and reduce integration cycle time.
In-depth domain expertise in automotive networking protocols (Ethernet, CAN/CAN-FD, LIN) and real-time communication middleware.
We value different paths to technical excellence and welcome candidates who bring strong judgment, curiosity, and a collaborative approach. Come build the future of autonomous vehicle simulation with us!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.