Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Santa Clara, California, United States
- Employment
- Full-time
- Experience
- Senior Level 6+ years of experience in Python or other modern programming languages.
- Education
- Applied Mathematics, or a related field, or equivalent experience. An MS or PhD is preferred.
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Role Summary
This Senior Software Engineer role focuses on designing and building software for accelerated computing systems. The work centers on software that combines hardware, software, workload, and deployment assumptions to evaluate data center-level power, TCO, and performance trade-offs.
What You'll Do
- Design, implement, and maintain software systems that evaluate data center-level power, TCO, and performance trade-offs
- Prototype and evaluate software design solutions and incorporate stakeholder feedback
- Strengthen engineering quality through testing, regression coverage, and operational practices
- Collaborate across teams to define clear interfaces and enable efficient development
- Make hands-on contributions to complex technical problems, including diagnosing and resolving issues
- Participate in building and code reviews, sharing knowledge, and helping teammates adopt effective engineering practices
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
A bachelor's degree or equivalent experience and 6+ years of Python or other modern programming experience, with strong analytical and communication skills.
Required
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Applied...
- 6+ years of experience in Python or other modern programming languages
- Experience developing and maintaining technical software systems
- Strong analytical, problem-solving, and debugging skills
- Ability to learn quickly and work effectively in a dynamic environment
- Strong written and verbal communication skills, with the ability to collaborate across multidisciplinary teams
Preferred
- MS or PhD
- Background in performance analysis, executive dashboards, or quantitative modeling for accelerated systems
- Experience working close to hardware or at large scale
- Track record of turning real-world inputs into structured, reliable software
- Experience helping teammates learn and adopt new technologies while continuing to deliver
- Comfort navigating ambiguous problem spaces, learning from source code and primary papers, and prototyping quickly
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is at the heart of AI, accelerated computing, and the systems that power them. We are hiring a Senior Engineer to design and build robust software for accelerated computing systems. You will solve challenging technical problems, contribute to architecture decisions, improve engineering practices, and collaborate with partners across NVIDIA. We’re seeking engineers who identify meaningful opportunities, approach problems with analytical rigor, and consistently deliver results in a fast-paced setting.
What you’ll be doing:
- Design, implement, and maintain software systems that combine hardware, software, workload, and deployment assumptions to evaluate data center-level power, TCO, and performance trade-offs.
- Contribute to software design decisions by prototyping and evaluating solutions and incorporating feedback from stakeholders.
- Strengthen engineering quality through effective testing, regression coverage, and operational practices.
- Collaborate across teams to define clear interfaces and enable efficient development.
- Make hands-on contributions to complex technical problems, help diagnose, and resolve issues.
- Participate in building and code reviews, share knowledge, and help teammates adopt effective software and engineering practices.
What we need to see:
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Physics, Applied Mathematics, or a related field, or equivalent experience. An MS or PhD is preferred.
- 6+ years of experience in Python or other modern programming languages.
- Experience developing and maintaining technical software systems with strong analytical, problem-solving, and debugging skills.
- Ability to learn quickly and work effectively in a dynamic environment and apply new technologies and approaches.
- Strong written and verbal communication skills, with the ability to collaborate across multidisciplinary teams.
Ways to stand out from the crowd:
- Comfort navigating ambiguous problem spaces, learning from source code and primary papers, prototyping quickly, and adapting based on evidence.
- Background in performance analysis, executive dashboards, or quantitative modeling for accelerated systems. Experience working close to hardware or at large scale is a plus.
- Track record of turning real-world inputs into structured, reliable software.
- Experience helping teammates learn and adopt new technologies while continuing to deliver.
- Good judgment about systems build and openness to revising your views as new information emerges.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.