Manager, GPU Compiler Engineering at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, Artificial Intelligence, High Performance ComputingIndustries

Requirements

BS or MS degree in Computer Science, Computer Engineering, or related fields with a minimum of 10 overall years of experience with 3 years as manager in the area of low level system SW development related to compiler, linkers, loaders, binary tools
Superb analytical and C/C++ programming skills
Experience in any one area of compiler development including feature support, code generation and compiler infrastructure
Excellent and strong interactive, verbal and written communications skills
Understanding of Assembly Language / Processor ISA (GPU ISA not mandatory but a plus)
Good track record of developing, driving and delivering software products

Responsibilities

Provide administrative and technical direction to a team of 3-6 system software development engineers, including planning, scheduling and execution of projects and activities
Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL
Coordinate cross functional development with rest of the compiler stack
Work with customers/partners to gather feedback and drive innovative ideas and features to incorporate into the product
Drive schedule execution and quality, software engineering practices
Recommend changes to policies and establish procedures that affect immediate organization
Communicate with senior management for team vision and development progress
Groom future engineering leaders and mentor junior engineers

Skills

Key technologies and capabilities for this role

PTX CompilerPTX ISAGPU ArchitectureCUDAGenerative AIML/DLHPCSystems SoftwareCompiler InfrastructureEngineering Management

Questions & Answers

Common questions about this position

What is the team size for this Manager, GPU Compiler Engineering role?

You will lead a team of 3-6 system software development engineers.

What education and experience are required for this position?

A BS or MS degree in Computer Science, Computer Engineering, or related fields is required, along with a minimum of 10 overall years of experience and 3 years as a manager in low level system SW development related to compilers, linkers, loaders, or binary tools.

What key skills are needed for this engineering manager role?

Superb analytical and C/C++ programming skills, experience in compiler development including feature support, code generation, and compiler infrastructure, understanding of Assembly Language/Processor ISA, and strong communication skills are required.

Is the salary or compensation specified for this role?

This information is not specified in the job description.

What experience will help me stand out as a candidate?

Experience in Programming Languages design and drafting standards, knowledge of GPU development and compute APIs such as CUDA and OpenCL, and development experience in LLVM IR or MLIR will make you stand out.

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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