Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Artificial Intelligence, Deep Learning, and Autonomous Vehicles. Our team of visionaries is reshaping industries worldwide with cutting-edge technologies. Join us on an exhilarating journey as a Senior Software Program Manager to join our collaborative and fast-paced customer interfacing automotive software organization. In this role, you will be supporting our worldwide automotive partners closely to integrate, adapt and test our NVIDIA DRIVE Software solutions, including DRIVE OS, NDAS and Alpamayo.
NVIDIA is synonymous with innovation, boasting trailblazers who are shaping the world with their forward-thinking approaches. This is your chance to be part of a vibrant community that's redefining the technological landscape. Ready to shape the future of automotive technology with NVIDIA? Apply now to be part of a team that's revolutionizing the industry and driving innovation to new heights. Your potential awaits!
What you’ll be doing:
Manage the software creation and delivery of NVIDIA’s DRIVE OS, AVOS and NDAS programs in the long term support phase, specially all NDAS customer programs which are entering mass production with Orin SoCs.
Track all known technical issues (bugs) reported on the ongoing engineering programs as well as field returns. Coordinate the root cause analysis behind the issues.
Track bug fixes, feature improvements, safety and security patches that need to be rolled out for all customer programs. Prioritize fixes across upcoming releases, track testing and validation and ensure on-time completion of all product release requirements (incl. safety certification and all relevant documentation).
Align with NDAS, AVOS and DriveOS product management teams to establish a long-term (12+ months) release and feature plan for each of the main SW components.
Coordinate with cross functional teams in India, Europe, U.S. and South Korea to resolve program issues and drive product launches.
Support customer teams in the planning and introduction of new SW releases for each customer program.
Act as the first point of contact and first level of escalation for our customer programs and internal senior leadership, providing regular updates and bringing management focus on important issues.
What we need to see:
General knowledge about Artificial Intelligence, LLMs, Transformers, CPU/GPU architectures, etc.
General knowledge of program management concepts (task planning, agile methodologies, risk management, etc.)
Degree from a leading university or equivalent experience in an engineering or computer science related field (BS; MS or PhD).
6+ years of work experience in automotive software development. Preferably on ADAS and AV.
Understanding of autonomous vehicle systems, sensor technologies, vehicle bus communication standards, SoCs and embedded software principles.
General knowledge of C/C++/Python, QNX and/or Linux OS.
Understanding of build pipelines, repositories, CI/CD, containerization, etc.
Proven experience of having led complex automotive programs to series production.
Excellent communication and organization skills, good time management, and task prioritization .
Ways to stand out from the crowd:
Experience with Automotive SPICE, ISO26262, 21448 standards.
Hands on experience developing complex embedded C++ based systems.
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 in the world working for us. If you're creative, hardworking and proactive, 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.
Skills Required
- General knowledge about Artificial Intelligence, LLMs, Transformers, CPU/GPU architectures
- General knowledge of program management concepts (task planning, agile methodologies, risk management)
- Degree in engineering or computer science (BS, MS or PhD) or equivalent experience
- 6+ years of work experience in automotive software development (preferably ADAS and AV)
- Understanding of autonomous vehicle systems, sensor technologies, vehicle bus communication standards, SoCs and embedded software principles
- General knowledge of C/C++/Python and QNX and/or Linux OS
- Understanding of build pipelines, repositories, CI/CD and containerization
- Proven experience leading complex automotive programs to series production
- Excellent communication, organization, time management and task prioritization skills
- Experience with Automotive SPICE, ISO 26262, ISO 21448
- Hands-on experience developing complex embedded C++ systems
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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