NVIDIA DOCA team is seeking a highly motivated and hardworking Engineer to design and implementation the SDK of the next generation Data Processing Unit Software, with a wide range of features related to cybersecurity and embedded systems.
This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting data centers across the world. At NVIDIA, We're united in our quest to transform the way Smart Adapters are used.
What you'll be doing:
- Work with some of the best engineers to design and implement DOCA SDK and infrastructure
- Responsibility for the E2E development of DOCA SDK features
- Design and develop SDK libraries for networking, storage, cyber security, and high-performance computing
- Work with big companies to solve real issues that require innovation and customer orientation
What we need to see:
- Bachelors Degree in EE, CS or CE or equivalent work experience
- Strong analytical, debugging, and problem-solving skills
- Excellent communications skills, team-work capabilities, self-motivated and well organized.
- Experience with OOD/OOP
Ways to stand out from the crowd
- Background in networking (TCP/IP/Eth)
- Experience with the software development lifecycle, specifically for embedded systems and security
- Programming skills in C/C++
- Background in driver development in Linux environment
It's more than just technology; it's about our exceptional people, some of the brightest minds globally. NVIDIA's culture revolves around core values such as innovation, perfection, determination, and teamwork, guiding us to reach our utmost potential. This creates an environment where creativity and drive thrive, making NVIDIA one of the most innovative and dynamic workplaces. If you are passionate and motivated, we welcome you to reach out to us. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
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.”
