Senior Software Engineer, Compute Infrastructure for Robotics Research at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AIIndustries

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
5+ years of full-time industry experience in large-scale MLOps and AI infrastructure
Experience with ML frameworks like PyTorch, JAX, or TensorFlow
Deep understanding of Kubernetes, experience with Ray
Experience with data frameworks and standards like SQL, Apache Spark, LanceDB
Experience with GPU acceleration and CUDA programming
Strong programming skills in Python and a high-performance language such as C++ for efficient system development

Responsibilities

Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics, including data jobs, training jobs, evaluation jobs, and so forth
Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets
Develop robust observability tools and procedures for this compute infrastructure to ensure reliability and performance
Collaborate with researchers to integrate innovative compute technologies into scalable training and eval pipelines

Skills

Key technologies and capabilities for this role

PyTorchJAXTensorFlowKubernetesRaySQLApache SparkLanceDBCUDAPythonC++

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include a Bachelor's degree or equivalent, 5+ years in large-scale MLOps and AI infrastructure, experience with ML frameworks like PyTorch, JAX, or TensorFlow, deep understanding of Kubernetes and Ray, data frameworks like SQL, Apache Spark, LanceDB, GPU acceleration and CUDA, and strong Python and C++ skills.

What is the team and work environment like at NVIDIA for this role?

You will join a new team building foundational infrastructure for Robotics Research, working closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group on Project GR00T, alongside an amazing and collaborative research team that produces influential works in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation.

What makes a candidate stand out for this position?

Stand out with a Master’s or PhD in Computer Science, Robotics, Engineering or related field, demonstrated Tech Lead experience coordinating engineers and driving projects, deep background in building large-scale data infrastructure, and strong experience and curiosity in frontier AI research.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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