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Assistant Deep Learning Jobs (NOW HIRING)

$28 - $45/hr

Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

$28 - $45/hr

Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

$28 - $45/hr

Key Responsibilities * Assist in building and training machine learning and deep learning models * Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

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Assistant Deep Learning information

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Senior Software Engineer - Deep Learning Compiler CI Infrastructure

Senior Software Engineer - Deep Learning Compiler CI Infrastructure

NVIDIA

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 20 days ago


Job description

Job Summary:
NVIDIA is known as 'the AI computing company' and is seeking a Senior Software Engineer to enhance their CI/CD infrastructure for deep learning compiler stacks. The role involves designing scalable CI systems and improving CI reliability while collaborating with various teams.
Responsibilities:
• Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA’s deep learning compiler stacks across GPU and accelerator environments
• Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on
• Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency
• Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams
Qualifications:
Required:
• BS, MS, or PhD (or equivalent experience) in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field
• 5+ years of experience designing, scaling, and operating CI/CD, build/release, or developer infrastructure for complex software systems
• Proven experience building CI platforms end-to-end using systems such as GitLab CI, GitHub Actions, Jenkins, or similar tools, including pipeline orchestration, compute/runner management, artifact and package systems, and observability, with strong emphasis on reliability, reproducibility, and debuggability
• Strong software engineering skills (Python required), with the ability to design, implement, and debug distributed systems end-to-end
• Proven track record of designing, building, and deploying AI/LLM-based systems in real engineering workflows, demonstrating skill in evaluating trade-offs, failure modes, maintainability, and measurable impact on developer productivity, signal quality, or operational efficiency
Preferred:
• Experience crafting and shipping sophisticated AI/agent-based systems that improve continuous integration or developer efficiency. These systems include intelligent test selection, automated triage and routing, regression localization, autonomous remediation, and developer-assist workflows
• Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms
• Familiarity with compiler IRs and infrastructure such as LLVM/MLIR, XLA/HLO, Triton IR, cuTile, or TileIR, especially in the context of testing, debugging, and validating compiler-driven workloads
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, 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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993