AI DevTech Engineering Manager

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Hybrid work model

Job summary

NVIDIA is seeking an Engineering Manager for AI Developer Technology in the US. You will lead a team of engineers to accelerate real-world DL/ML workloads, optimize performance, and develop novel algorithms that leverage NVIDIA hardware.

You will drive strategic technical initiatives, collaborate with research, hardware, and software groups, and mentor a diverse team to achieve engineering excellence and impact across multiple AI domains.

Qualifications

• Must have MS or PhD in Computer Science, Computer Engineering or related field (or equivalent experience).
• 8+ years of overall relevant experience, with 5+ years in a technical role and 3+ years in engineering leadership.
• Strong background in linear algebra and performance optimization for DL training and inference.

Responsibilities

• Lead the team to optimize and develop ML/DL algorithms and workloads for NVIDIA platforms.
• Define and drive strategic technical initiatives for accelerated DL/ML applications.
• Collaborate with research, hardware, and software teams to influence next-generation hardware and programming models.
• Develop and communicate technical solutions, including design decisions and project plans, to collaborators.
• Hire and grow a diverse, high-caliber team; mentor engineers and promote engineering excellence.

Skills

Deep Learning optimization

Parallel programming

C/C++

Leadership experience

Communication skills

Education

MS or PhD in Computer Science / Computer Engineering

Tools

CUDA

OpenMP

MPI

pthreads

Job description

NVIDIA is seeking an Engineering Manager for AI Developer Technology in the US. You will lead a team of engineers to accelerate real-world DL/ML workloads, optimize performance, and develop novel algorithms that leverage NVIDIA hardware.

You will drive strategic technical initiatives, collaborate with research, hardware, and software groups, and mentor a diverse team to achieve engineering excellence and impact across multiple AI domains.