Senior Systems/ Software Engineer (Python Automation, L2/L3 Features, SONiC NOS)
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Design and build software-defined network infrastructure using EVPN and BGP architectures, perform code reviews, and drive networking strategy for DGX Cloud. This principal-level role requires 15+ years in networking with expertise in BGP, EVPN, IP subnetting, and overlay networking, plus demonstrated software development skills across any programming language. The position is based at NVIDIA with a base salary of $272,000–$431,250 annually, plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Join our dynamic team at NVIDIA as a Principal Software Engineer in Networking within the DGX Cloud division. Embrace this outstanding opportunity to advance software-defined networking infrastructure by using EVPN and BGP architectures. At NVIDIA, you will join an ambitious group driven by innovation, and your contributions will build the future of computing. Join Us!
What you'll be doing:
Designing and building world-class software-defined network infrastructure grounded in EVPN and BGP architectures.
Contributing to software development processes with meticulous attention to detail.
Performing code reviews to ensure reliable and correct feature implementation.
Collaborating with network fabric (underlay) network architecture to successfully implement sophisticated multi-tenant networking solutions.
Engaging in the determination of key networking strategies that support our innovative technologies.
Driving ambitious projects that complement the best in the industry.
Ensuring all network processes rigorously adhere to the highest standards.
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent experience.
Consistent track record with a minimum of 15 years in networking, with some emphasis on systems and software engineering.
Extensive experience with BGP, EVPN, IP subnetting, and overlay networking.
Ability to write software to solve networking problems in any language.
Outstanding problem-solving abilities and a diligent approach.
Ability to collaborate effectively with diverse teams.
Demonstrated experience in software development and code reviews.
Ways to stand out from the crowd:
Advanced degree in Computer Science or an associated field, or equivalent work experience.
Experience with cloud-based networking solutions.
Familiarity with NVIDIA technologies and platforms.
Published works or contributions to open-source projects in networking.
Leadership experience in managing complex networking initiatives.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
209K – 220K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 12 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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