Role at a glance
- Salary
- $184K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of experience working on software development autonomous vehicles.
- Education
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
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Role Summary
The Autonomous Vehicles Platform team is developing and productizing NVIDIA's autonomous vehicle platform and integrating work across vehicle subsystems into the DRIVE SW platform. The role focuses on platform software, embedded development, automated workflows, and production release support across Hypervisor, Linux, and QNX RTOS environments.
What You'll Do
- Lead software integration for NVIDIA Drive Autonomous vehicle solution products.
- Architect and develop platform software, tools, filesystem customization, and software integration across multiple OS environments.
- Coordinate cross-team dependencies, schedules, progress, and debugging with engineering and QA teams to meet production release timelines.
- Engage with customer teams to productize workflows for platform integration.
- Enable automated workflows for development, sanity testing, car validation, and software release deliveries.
- Develop build, packaging, and automated testing infrastructure for autonomous vehicle software.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience); 8+ years of experience working on software development autonomous vehicles; proficient debugging skills from application to kernel level on embedded hardware; strong communication and cross-functional collaboration skills; expertise in embedded systems, architecture design and SW/HW cross-domain knowledge; ability to work in a multinational, multi-time-zone corporate environment.
Required
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience)
- 8+ years of experience working on software development autonomous vehicles
- Proficient debugging skills from application to kernel level on embedded hardware
- Strong communication skills and the ability to collaborate with multiple cross-functional teams
- Proven expertise in embedded systems, architecture design and SW/HW cross-domain knowledge
- Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment
Preferred
- Leveraged AI for building small to complex embedded projects to improve platform developer efficiency
- Experience with Linux and QNX filesystems, and QNX RTOS
- Background in automotive ECU software integration or prior experience in the automotive field
- Familiarity with the Bazel build system
- Exposure in Python programming, cloud services, Jenkins, and Docker in continuous integration and deployment systems
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 the market. This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.
What you'll be doing:
Lead software integration with a systematic approach to streamline embedded development for NVIDIA Drive Autonomous vehicle solution products.
Architect and develop platform software, tools, filesystem customization, with efficient software integration in multiple OS environments with AI powered workflows.
Proactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines.
Regularly engage with customer teams to productize workflows for platform integration.
Collaborate with other engineering teams to enable automated workflows for development, sanity testing, car validation, and software release deliveries.
Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles.
Operate in an environment involving Hypervisor, Linux, and QNX RTOS.
What we need to see:
BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
8+ years of experience working on software development autonomous vehicles.
Proficient debugging skills from application to kernel level on embedded hardware.
Strong communication skills and the ability to collaborate with multiple cross-functional teams.
Proven expertise in embedded systems, architecture design and SW/HW cross-domain knowledge.
Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.
Self-motivated, organized, and proactive.
Ways to stand out from the crowd:
Leveraged AI for building small to complex embedded projects to improve platform developer efficiency.
Experience with Linux and QNX filesystems, and QNX RTOS is a major plus.
Background in automotive ECU software integration or Prior experience in the automotive field.
Familiarity with the Bazel build system.
Good to have exposure in python programming, cloud services, Jenkins, and Docker in continuous integration and deployment systems.
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.