Senior Solutions Architect, AI Performance Engineering

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Python","CUDA","C++","Linux","GitLab","Docker","Kubernetes","Nsight System","Nsight Compute","CuDNN","NCCL","PyTorch"]

Lead technical engagements with automotive customers to accelerate AV training, perception, and planning models using NVIDIA’s full-stack stack. Drive proof-of-concept evaluations, develop solutions with CUDA/CuDNN/PyTorch, and mentor team members. Collaborate with Sales, Engineering, and Product to optimize workflows, performance, and adoption of NVIDIA’s AI hardware/software for autonomous vehicles.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Solutions Architect, AI Performance Engineering

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead technical engagements with automotive customers to accelerate AV training, perception, and planning models using NVIDIA’s full-stack stack. Drive proof-of-concept evaluations, develop solutions with CUDA/CuDNN/PyTorch, and mentor team members. Collaborate with Sales, Engineering, and Product to optimize workflows, performance, and adoption of NVIDIA’s AI hardware/software for autonomous vehicles.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Engage with customers to accelerate AV training, perception and planning models, simulations, synthetic data generation, and software-in-the-loop testing at scale using Nvidia profiling tools and libraries such as cuDNN and PyTorch.
  • •Partner with Sales, Engineering, Product and other Solution Architect teams to drive full-stack adoption, understand customer workflows, lead proof-of-concepts, and provide feedback to drive product improvements.
  • •Develop and demonstrate solutions based on NVIDIA’s software/hardware technologies to customers.
  • •Analyze and optimize state-of-the-art AI models for performance on current and next-generation GPUs.
  • •Build collateral (notebooks, GitHub repos, demos) for workflows like model training/validation, LLMs, World Models, and video processing.
  • •Provide technical leadership to other team members.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •8+ years of hands-on validated ML/DL Infra experience in Autonomous Vehicles with focus on improving compute efficiency of training and inferencing workloads.
  • •Experience with Python, CUDA, or C++ and proficiency with Linux.
  • •Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
  • •Strong understanding of AV L3/L4 related models, reconstruction-based or generative world models, and simulations.
  • •Effective verbal/written communication, and technical presentation skills.
Experience:8+ yearsAutonomous VehiclesML/DL Infra
Education:Bachelor's
Skills:PythonCUDAC++LinuxGitLabDockerKubernetesNsight SystemNsight ComputeCuDNNNCCLPyTorch
Languages:English
Tech Stack:PythonCUDAC++LinuxGitLabDockerKubernetesNsight SystemNsight ComputeCuDNNNCCLTransform EnginePyTorch

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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