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NVIDIA

Designs the chips and software that power AI

Senior Software Manager - Embedded Imaging Software

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
  • At least 10 years of relevant software engineering experience, including at least 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.
  • 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.

Responsibilities

  • Lead delivery of emerging sensing and imaging technologies into the Jetson board support package 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 quality assurance 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.

Desired Qualifications

  • Knowledge of embedded camera technologies, such as 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 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.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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