Senior System Software Engineer, Eda Efficiency Infrastructure

Details

For more than 25 years, NVIDIA has changed the landscape of digital imaging, personal gaming, and high-performance computing. Our team builds reliable, informative telemetry and data systems that provide real-time understandings of sophisticated, distributed infrastructure. As an engineer on this team you will help build the next generation of observability for a diverse set of sophisticated workloads, transforming raw telemetry into actionable insights and architecting, developing, and maintaining infrastructure that supervises workload health, performance, and usage in critical engineering systems.

Responsibilities

• Collaborate closely with internal chip design teams to understand workflows and determine observability needs to improve the chip development process.
• Compose, build, and maintain robust and scalable platforms and infrastructure for capturing, storing, visualizing, and processing data collected from chip build workflows.
• Maintain and update observability tools and systems to meet the needs of new and evolving chip design workflows.
• Keep up to date with developments in observability tools, frameworks, and strategies and advocate for their integration within the organization.

Requirements

• BS or above degree in Computer Science or equivalent experience.
• Minimum 4+ years of professional experience developing and managing observability infrastructure.
• Familiarity with EDA (Electronic Design Automation) workflows and tools used in the semiconductor industry.
• Proficiency in programming and scripting using Python and Perl.
• Familiarity with databases, containerized applications, and observability stack components.
• Experience building data pipelines for compute clusters using open-source technologies and building custom components as needed.
• Experience with C++ is a plus.
• Solid grasp of software engineering principles and methodologies such as OOP and CI/CD.
• Ability to translate ambiguous problems into concrete solvable pieces.
• Excellent communication and collaboration skills; ability to adapt in a fast-paced environment with evolving requirements.

Ways to stand out

• Background knowledge in accelerated computing (parallel programming) or experience running CPU-vectorized or GPU-based workloads.
• Hands-on experience developing user interfaces using HTML, CSS, JavaScript, ReactJS, or VueJS.
• A passion for improving engineering productivity and efficiency with a data-driven philosophy.

Compensation & Benefits

• Base salary ranges (determined by location, experience, and pay of employees in similar positions):
  • Level 3: 148,000 USD - 235,750 USD
  • Level 4: 184,000 USD - 287,500 USD
• Eligible for equity and benefits (see NVIDIA benefits).

Other details

• Location: Santa Clara, California, United States.
• Employment type: Full time.
• Applications for this job will be accepted at least until December 8, 2025.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate 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.