Firmware Infrastructure Engineer - GPU

Details

Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of crafting and implementing creative secure solutions in heavily resource-constrained environments? If so, you’re primed to join our team in developing the tools and infrastructure that support the software and firmware that boot the world’s best GPUs.

We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is designing and implementing world-class automation, tools, and practices to improve, unlock and accelerate the innovations of firmware that defines the cutting edge of GPU technology. In the world of firmware, where tight requirements of security, boot-time, storage space act as constraints to all solutions: Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse set of minds in the business. Your goal will be to shape the future of GPU technologies doing exactly what you enjoy: solving puzzles. If this sounds exciting and you’re up for the task, we’d certainly like to hear from you!

Responsibilities

• Improve team software process and core infrastructure by enhancing and designing tooling, build systems, and regression farms
• Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle
• Work closely with hardware, software, infrastructure, and business teams to transform new infrastructure features from idea to reality
• Work with leading OS and PC vendors to improve and innovate on the startup experience
• Create, document, and automate workflows, processes, and tooling for internal-facing and external-facing team projects

Requirements

• BS or MS degree in EE/CS/CE (or equivalent experience)
• 4+ years experience
• Automation experience with modern CI/CD tools
• Sturdy technical background in cloud/distributed infrastructure
• In depth understanding of database concepts and object modeling
• Strong grasp of software development lifecycle and coding practices
• Strong Python, C, and scripting skills
• Strong interpersonal skills
• Easy to work with, as you’ll constantly be engaged with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems and infrastructure

Ways to stand out from the crowd

• Experience with static/dynamic code analysis, tooling, and build automation
• Experience in developing device BIOS, firmware, or other low-level software
• Familiarity with SQL language and one or more SQL database ecosystems
• Experience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testing
• Passion for optimizing and unlocking the potential of yourself and others through your work

Benefits

• Eligibility for equity and benefits
• Working for a highly innovative and renowned technology company specializing in AI, HPC, and Visualization
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer