Software Manager, BlueField DPU Platforms

Reposted 3 Days Ago
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2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the BlueField DPU Platform Software team, mentoring engineers, coordinating projects, and collaborating with partners to develop embedded software solutions.
Summary Generated by Built In

What do artificial intelligence, autonomous vehicles, robotics, cloud technologies, computer vision, augmented reality, voice recognition, virtualization, and computer gaming all have in common? They all require a high-speed, low-latency, secure, and intelligent network, and the NVIDIA BlueField DPU is at the center of this new groundbreaking technology.

As the BlueField DPU Platform Software team, we are directly involved with the entire lifecycle of the DPU, including software development, new board bring-up, bootloaders, low-level device initialization, Linux OS drivers and kernel configuration, system management, and supporting customers with software fixes and new features. We believe our most valuable asset is our people and seek the very best to lead our outstanding team. Do you have management experience with teams developing embedded Arm platforms, operating systems, and software distribution? Do you have an ambition to lead teams forging innovative products and solutions? If so, this position is for you!

What you will be doing:

  • Mentor and expand your engineering team in the planning and execution of initiatives and projects with top quality and timely results

  • Coordinate feature design and implementation as well issue resolution, as this is a technical leadership role

  • Interact with internal and external partners to understand their use cases and requirements. Collaborate with engineering teams, program and product management across the product roadmap

  • Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are implementing in the most efficient and open manner

  • Develop a team of engineers who understand the bigger picture, value collaboration, and can take ownership of and implement designs from beginning to end

  • Be familiar with the open-source community process to advance industry-standard programming models and platform support while upstreaming and maintaining software into standard software distributions

What we need to see:

  • Bachelor's or Master’s degree in Computer Science/Engineering or equivalent experience

  • 4+ years of management experience

  • 8+ overall years of experience in the software industry with specialization in embedded Linux system software stack and Arm preboot development

  • Proven track record of taking several complex software features or products through the full product life cycle

  • Strong understanding of computer system architecture, operating systems principles, HW-SW interactions, and performance analysis/optimizations

  • Expertise in C/C++ coding abilities and practical hands-on experience

  • Experience balancing multiple projects with conflicting priorities.

  • Flexibility to work and communicate effectively across different teams and time zones

Ways to stand out from the crowd:

  • Demonstrated leadership of engineering teams doing embedded Linux and preboot Arm work

  • Experience with ARMv8 microarchitecture, ATF, and/or UEFI software

  • Knowledge of secure boot flows and/or trusted computing environments is a strong plus

  • A good sense of humor is key. We like to have a positive team environment

We offer competitive salaries and excellent benefits, establishing ourselves as a top employer in the tech industry. Our engineering teams are experiencing remarkable growth, making this an exceptional opportunity. If you're an independent and innovative engineering manager looking to develop and lead teams through exciting challenges, we invite you to apply.

Top Skills

C,C++,Linux,Embedded Linux,Arm
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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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