About the role
NVIDIA is seeking a dedicated Software Engineer to join the Vertical Verification Group. As a senior team member, you will help craft high-performing software automation systems for NVIDIA's Data Center environments. The role focuses on software development and solutions involving AI. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, working closely with architects, network engineers, and developers. With skilled engineers worldwide, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?
What you’ll be doing:
- Build, develop, and optimize scalable software systems with a focus on AI/ML integration
- Build automation and validation tools simulating data center and HPC environments
- Collaborate with cross-functional teams to define requirements and deliver robust solutions
- Improve system performance, scalability, and reliability through architectural improvements
- Troubleshoot complex issues in distributed systems and improve observability
- Participate in code reviews, build discussions, and continuous improvement efforts
What we need to see:
- B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience)
- 5+ years of hands-on software development experience
- Strong programming skills in Python, C++, or similar languages
- Experience with AI/ML frameworks such as PyTorch or TensorFlow
- Solid understanding of data structures, algorithms, and system building
- Experience working in Linux environments
- Strong debugging, problem-solving, and communication skills
Ways to stand out from the crowd:
- Experience with embedded programming (low-level C/C++)
- Familiarity with networking protocols (TCP/IP, UDP, etc.)
- Experience optimizing AI workloads in distributed or edge environments
- Contributions to high-performance or AI-related systems
Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
Similar roles
Robotics Software Engineer, Verification & Validation
Anduril Industries
Senior/Staff Software Engineer, Fault Response Verification
Nuro
Staff Software Engineer - Wallet (Authentication & Verification Experiences)
ID.me
Software Engineer, Verification and Validation (Perception)
Field AI
Senior Backend Engineer - Workforce Verification
Socure
Software Engineer - Production Verification
Unity Technologies