What does every robot need before it can reason or act? It needs to see. As robotics evolves from hand-engineered algorithms to learned AI policies, imaging becomes a central part of the end-to-end intelligence loop. This shift calls for a new camera stack that delivers synchronized, low-latency, model-ready data from sensor to tensor.
As a Senior Software Manager at NVIDIA, you’ll lead this transformation for our Jetson platform. You’ll define and deliver our imaging software roadmap while coordinating engineers and managers building camera drivers, image-processing algorithms, streaming frameworks, and developer tools. Together, we’ll help customers move from prototype to production and shape how the next generation of humanoids and autonomous machines perceives the world. Come build the eyes of physical AI!
What you’ll be doing:
Lead delivery of emerging sensing and imaging technologies into our Jetson BSP across drivers, algorithms, frameworks, agents, and skills
Support a team transitioning to an agentic development workflow that improves execution velocity, transparency, software quality, and system performance
Translate customer and ecosystem requirements into prioritized capabilities and measurable product outcomes
Align engineering efforts between software and partner teams in imaging research, tuning, Jetson product, hardware, and QA to ship features into releases on a predictable schedule
Develop and mentor engineering managers and senior technical leaders while crafting opportunities for the broader team to grow
What we need to see:
BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
10+ overall years of relevant software engineering experience, including 5+ years leading software teams, along with a degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience
Experience developing embedded Linux software for systems-on-chip with modern agentic workflows, including device drivers, platform bring-up, and debugging on target hardware
Technical depth in C, C++, or Rust systems software, with the ability to guide architecture, performance optimization, and system-level debugging
Proven ability to translate market requirements into software roadmaps and align interdisciplinary, matrixed teams to deliver results
Hands-on development experience with modern agentic tools, skills, and workflows
Ways to stand out from the crowd:
Knowledge of embedded camera technologies, such as MIPI CSI, GMSL, Camera over Ethernet, V4L2, ISP control, or image quality tuning
Taken edge AI systems from concept to production, especially in robotics
Experience building agentic skills or AI-assisted workflows that improve engineering efficiency and software quality
Familiarity with functional-safety development practices, such as ISO 26262 or IEC 61508
Understanding of input requirements and image quality dependencies for VLMs, VLAs, and other perception models
With competitive salaries and a generous benefits package (www.nvidiabenefits.com ), we are 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 and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5.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.Skills Required
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience
- 10+ years of relevant software engineering experience
- 5+ years leading software teams
- Experience developing embedded Linux software for systems-on-chip
- Experience with device drivers, platform bring-up, and debugging on target hardware
- Technical depth in C, C++, or Rust systems software
- Ability to guide software architecture, performance optimization, and system-level debugging
- Ability to translate market requirements into software roadmaps and align interdisciplinary matrixed teams
- Hands-on experience with modern agentic tools, skills, and workflows
- Knowledge of embedded camera technologies including MIPI CSI, GMSL, Camera over Ethernet, V4L2, ISP control, or image quality tuning
- Experience taking edge AI systems from concept to production, especially in robotics
- Experience building agentic skills or AI-assisted engineering workflows
- Familiarity with functional-safety practices such as ISO 26262 or IEC 61508
- Understanding of image-quality dependencies for VLMs, VLAs, and other perception models
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.”
