3 months ago

Senior Solutions Architect, Autonomous Driving - GenAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Expert AV and GenAI Solutions Architect to help customers adopt NVIDIA’s full-stack technologies, build and deploy Generative AI and Physical AI solutions, and drive AI-enabled workflows in autonomous driving. Engage with developers, researchers, and cross-functional teams to scope, prototype, and scale end-to-end AV/GenAI solutions using CUDA-X, GenAI stacks, and NVIDIA platforms.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Engage with customers to scope and develop solutions for building AV perception and planning models and pipelines, simulations, synthetic data generation, and software-in-the-loop testing, AI-enhanced manipulation and navigation workflows using NVIDIA's Physical AI platforms and CUDA-X libraries.
•Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develop and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
•Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption; lead proof-of-concepts evaluations and provide internal feedback to drive product improvements.
•Build collateral (notebooks, GitHub repos, demos, etc.) applied to AV and GenAI data curation, model training and validations, LLMs, VFMs, video encoding/decoding, etc.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
•8+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.
•Experience writing production codes in Python, or C++ and proficiency with Linux.
•Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
•Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).

Experience:8+ yearsAutonomous vehiclesAIGenAI

Education:Master's

Skills:CommunicationPresentationCollaboration

Tech Stack:PythonC++LinuxGitLabDockerKubernetesPyTorchCUDA-XCarlaLangChainLangGraph

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 months ago

Senior Solutions Architect, Autonomous Driving - GenAI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Engage with customers to scope and develop solutions for building AV perception and planning models and pipelines, simulations, synthetic data generation, and software-in-the-loop testing, AI-enhanced manipulation and navigation workflows using NVIDIA's Physical AI platforms and CUDA-X libraries.
•Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develop and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
•Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption; lead proof-of-concepts evaluations and provide internal feedback to drive product improvements.
•Build collateral (notebooks, GitHub repos, demos, etc.) applied to AV and GenAI data curation, model training and validations, LLMs, VFMs, video encoding/decoding, etc.

Pay and Benefits

Salary: USD 184,000 - 287,500 annually

Equity and Bonus:Equity

Perks:EquityBenefits

Key Requirements

•Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
•8+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.
•Experience writing production codes in Python, or C++ and proficiency with Linux.
•Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
•Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).

Experience:8+ yearsAutonomous vehiclesAIGenAI

Education:Master's

Skills:CommunicationPresentationCollaboration

Tech Stack:PythonC++LinuxGitLabDockerKubernetesPyTorchCUDA-XCarlaLangChainLangGraph

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor