AI Jobs

Benefits:

• Equity

• Benefits

Education Requirements:

• BS or MS in Computer Engineering, Electrical Engineering

Experience Requirements:

• 3+ years of hands-on chip design experience

• Expertise in RTL design, SOC integration, and design automation

• Proficiency in Perl, Python, or similar scripting languages

• Experience in synthesis, padring, and physical design is a plus

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and teamwork abilities

• Ability to build consensus

Responsibilities:

• Integrate diverse IP blocks to build GPUs and SOCs

• Develop and refine system-level methodologies

• Streamline SOC design and assembly

• Spot inefficiencies in front-end chip implementation

• Ensure high-quality RTL delivery to physical design team

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.

Experience Requirements:

• At least 1+ years of relevant PostDoc or Industry research experience

• Excellent knowledge of theory and practice of AI

• Outstanding research and publication track record

• Excellent programming skills in Python

• Knowledge of common machine learning frameworks like PyTorch

Other Requirements:

• C++ and parallel programming (CUDA) is a plus

• Excellent communications skills

Responsibilities:

• Research, design and implement AI 4 Science methods

• Publish original research

• Collaborate with other team members

• Mentor interns

• Speak at conferences and events

Benefits:

• Equity

• Benefits

Education Requirements:

• BS or MS in Computer Science or relevant field

Experience Requirements:

• 15+ years of professional experience in software engineering

• Focus on distributed backend systems and data-intensive applications

• Deep proficiency in Go, Python, or Java

• Experience building high-performance low-latency data systems

• Strong understanding of distributed systems

Other Requirements:

• Ability to identification and fix performance bottlenecks

• Experience designing internal platform APIs

• Excellent communication skills

• Understanding of AV & Robotics concepts

• Experience with real-time and replay streaming architectures

Responsibilities:

• Architect and build core platform systems for TestStudio

• Design and implement high-performance data services

• Own and evolve the serialization and format layer

• Collaborate with AI and Robotics teams

• Optimize performance across the stack

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• BS or MS in Computer Science or equivalent

Experience Requirements:

• 10+ overall years of software development

• 5+ years of experience in leading a SW engineering team

• Hands on experience with Cloud Services (SaaS)

• Experience taking mobile and cloud products from inception to release

• Demonstrated capability to provide deep technical leadership

Other Requirements:

• Strong customer focus

• Interpersonal skills

• Experience engaging with analysts and industry visionaries

• Passionate perfectionist

• Out-of-box thinking

Responsibilities:

• Lead a team building cloud services supporting GeForce NOW

• Build a strategy for growing usage and scale

• Own technical requirements, roadmaps, design, and operations

• Partner closely with peer organizations to achieve business success

• Drive improvements in service reliability

Benefits:

• Equity

• Benefits

Education Requirements:

• Bachelor of Science in Electrical Engineering or Computer Science

Experience Requirements:

• 12+ years of experience in a similar or related role

• Experience working in a software development environment

• Track record of leading the launch of new products or features

Other Requirements:

• Strong leadership and communication skills

• Background with autonomous vehicles and/or machine learning

• Experience with data analysis tools/languages such as SQL

• Experience with start-ups and/or early-stage products

Responsibilities:

• Define a cohesive user-centric product vision and experience

• Outline the strategy/roadmap to achieve goals

• Identify & prioritize most critical activities for product success

• Maintain pulse on overall health of workstream

• Develop strong technical understanding of the stack

Benefits:

• Equity

• Benefits

Education Requirements:

• MS or PhD in Computer Science, Robotics, or related engineering field

Experience Requirements:

• 8+ years experience in the related field

• Production experience in autonomous driving systems

• Worked on AI foundation models or large-scale ML systems

• Helped drive End-to-end driving models

• Experience working on Robotics or embodied AI systems

Other Requirements:

• Knowledge of CUDA is a plus

• Deep knowledge of E2E AV software integration

• Vision, innovation, and talent

Responsibilities:

• Compose and build architecture for next-generation self-driving vehicles

• Work on Prediction, Decision, Planning and Control architecture

• Build robust system-level safety and fallback strategies

• Develop a World Model–based planning and reasoning model

• Contribute to the integration of innovative research in robotics

Benefits:

• Equity

• Benefits

Education Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields

Experience Requirements:

• 7+ years of experience in Solution Engineering or similar roles

• System-level understanding of server architecture

• Practical knowledge of networking

• Familiarity with DevOps/MLOps technologies

• Experience with bring-up and deployment of large clusters

Other Requirements:

• Effective time management

• Excellent communication skills

• External customer-facing skills

• Proficiency in systems engineering, coding, and debugging

• Hands-on experience with NVIDIA systems/SDKs

Responsibilities:

• Working with AI Native customers on data center GPU infrastructure

• Guiding customer discussions on network topologies

• Identifying new project opportunities for NVIDIA products

• Conducting regular technical meetings with customers

• Building custom demonstrations and proofs of concept

Benefits:

• Equity

• Health benefits

Education Requirements:

• Masters in Computer Science/Electrical Engineering or equivalent experience

Experience Requirements:

• 8+ years machine learning/deep learning research or practical experience

• 7+ years leadership background

• 15+ years industry experience

• 10+ years validated expertise in embedded software sector

Other Requirements:

• PhD or equivalent experience in a relevant field

• Leadership role in production deployment of Smart Spaces

• Deep experience with CV, LLMs, VLMs, GenAI Models

Responsibilities:

• Lead and develop engineering and data teams distributed across Europe, Asia and the United States

• Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy

• Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks

• Collaborate with major Metropolis OEMs and Partners to architect optimized custom models

• Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf

Benefits:

• Equity

• Health benefits

Education Requirements:

• Master's degree or equivalent experience in Electrical Engineering or related field

Experience Requirements:

• 5+ years of experience in EMIR flow methodology development and support

Other Requirements:

• Experience in crafting custom workflows from scratch

• Experience using AI tools to improve capabilities in the power integrity domain

Responsibilities:

• Developing physical design methodologies for rail analysis and signoff

• Creating solutions for pioneering IR analysis and signoff

• Crafting workflows and tool methodologies for power and noise analysis

Benefits:

• Competitive salaries

• Comprehensive benefits package

• Equity

Education Requirements:

• M.S./Ph.D. degree in CS/CE or equivalent experience

Experience Requirements:

• 5+ years of relevant experience

Other Requirements:

• Experience with CUDA programming and NVIDIA GPUs

• Knowledge of high-performance networks like InfiniBand

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow

Responsibilities:

• Design and maintain highly-optimized communication runtimes for Deep Learning frameworks

• Participate in parallel programming interface specifications like MPI/OpenSHMEM

• Implement system software enabling interactions among GPUs

• Create proof-of-concepts to evaluate extensions in programming models

Experience Requirements:

• 6+ years

• 8+ years in engineering, solutions engineering, or technical delivery

• 2+ years leading high-performing technical teams

Other Requirements:

• Will sponsor

• Python, SQL

• Fluent across engineering and business contexts

Responsibilities:

• Lead, coach, and grow a team of FDEs

• Partner with Sales, Product, Engineering, and Customer Success to shape solutions

• Incorporate customer-specific solutions into the product roadmap

• Provide hands-on technical leadership across APIs and platform capabilities

• Elevate how we run demos, proofs of concept, and onsite engagements

Education Requirements:

• Bachelors Degree in Computer Science or related field required

Experience Requirements:

• Minimum 2 years experience designing and implementing time series forecasting

• Minimum 2 years experience designing and implementing machine learning solutions

Other Requirements:

• Object oriented programming skills in one of Scala, Java, Python, C++

• Strong knowledge and understanding of machine learning pipelines

• Common data science toolkits, such as NumPy Pandas scikit-learn Matplotlib etc

• Deep learning frameworks such as PyTorch TensorFlow

• SQL and NoSQL databases such as PostgreSQL Cassandra MongoDB etc.

Responsibilities:

• Design machine learning systems

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Train ML/AI algorithms and test them for accuracy, precision and recall

Education Requirements:

• Bachelors with relevant 8+ years plus experience in product management or related technical roles

Experience Requirements:

• 5+ years of experience launching AI/tech products from concept to market

• 5+ years of experience working cross-functionally

• Prior experience working on AI Infrastructure, HPC, or cloud computing

Other Requirements:

• Strong grasp of AI/ML technologies and architectures

• Good understanding of cloud computing and distributed systems

• UX expertise across GUI, CLI, APIs, and SDKs

• Entrepreneurial mindset

Responsibilities:

• Define and own the product vision, strategy, and roadmap

• Develop product requirements – Epics, features, user stories

• Conduct ongoing market research and competitive analysis

• Drive collaboration between engineering, design, marketing, and sales

• Work with marketing and sales to define GTM strategies and pricing

Benefits:

• health insurance

• dental

• vision

• 401k

• remote-first approach

Education Requirements:

• Bachelor's degree in business or engineering field

Experience Requirements:

• Minimum of 3 years of experience in a relevant technical sales or engineering role

• Experience with traffic controllers

• Understanding of traffic engineering principles

• Experience presenting technical products and services

• Project management experience

Other Requirements:

• Willingness to travel as required (up to 25%)

• Ability to work independently and collaboratively within a team

• Must be able to pass a background check

• MVR checks are also conducted when applicable to the role

Responsibilities:

• Prepare and give technical presentations

• Articulate the technical value proposition

• Serve as Project Manager on pilot projects

• Run training sessions with prospective customers

• Lead in the technical response and system design on RFPs

Benefits:

• Work with the smartest minds who worked at Google, Microsoft, Uber, Stanford

• Flexible working hours

• Super cool and smart team

• 24X7 flow of geeky jokes

• Build awesome libraries for your portfolio

Experience Requirements:

• 5+ years of experience with web/desktop application development

Other Requirements:

• Good understanding and deep knowledge of Python/Java/C++, JavaScript, Angular/React, HTML, CSS, MongoDB

• Ability to work in a fast-paced start-up environment

• Hands on experience with public cloud providers (AWS/Azure/Google Cloud)

• JavaScript Canvas or WebGL is nice to have but isn’t required

Responsibilities:

• Translate design mockups to actual code with ownership of end to end implementation

• Perform incremental changes to architecture with no impact to the existing application

• Write scripts to handle data from various sources and convert it into compatible formats

• Implement code in Angular, React, Python/C++ in an effective, scalable and performance efficient manner

• Work closely with UX Designers, Full Stack Developers and Chief Architect

Benefits:

• Work with the smartest minds from Google, Microsoft, MIT, Stanford

• Flexible working hours

• Super cool and smart team

• 24X7 flow of geeky jokes

Other Requirements:

• Very strong in mathematics and computer algorithms

• Deep understanding of linear algebra, numerical analysis, optimization, computer vision, and robotics

• Good understanding and deep knowledge of Python/C++

• Ability to work in a fast-paced start-up environment

Responsibilities:

• Solve problems

• Read research papers filled with mathematical equations and implement them

• Develop and implement numerical and computer vision algorithms

• Implement code in Python and C++ in an effective, scalable and performance efficient manner

Benefits:

• Equity

• Benefits

Education Requirements:

• Bachelor's degree in Computer Science

• Engineering

• Equivalent experience

Experience Requirements:

• 5+ years of software engineering experience

Other Requirements:

• Expert-level proficiency in Go and Python

• Experience with Jenkins, GitlabCI, and Terraform

• Hands-on experience with Kubevirt and packaging

Responsibilities:

• Design CI/CD pipelines for building OS images

• Build unit testing and integration testing frameworks

• Optimize CI/CD infrastructure

• Implement infrastructure as code

• Create Ubuntu and RHEL packaging solutions

Benefits:

• Equity

• Benefits

Education Requirements:

• BS or MS in Computer Engineering

• Computer Science

• Related field

Experience Requirements:

• 6+ years of professional software development experience

Other Requirements:

• Expertise in Kubernetes internals

• Hands-on experience integrating next-gen GPUs

• Track record debugging large-scale stacks

• Experience with CI/CD

• Familiarity with distributed systems

Responsibilities:

• Deep-dive debugging of multi-rack clusters

• Gather customer requirements

• Drive joint architecture reviews

• Create reproducible testbeds

• Deliver technical collateral

Benefits:

• Equity

• Benefits

Education Requirements:

• BS or MS degree in computer science

• Mathematics

• Computational science/engineering

• Related technical field

Experience Requirements:

• 5+ yrs of relevant experience

Other Requirements:

• Strong Python programming skills

• Familiarity with containers and numeric libraries

• Knowledge of state-of-the-art DNN architectures

• Experience with major deep learning frameworks

Responsibilities:

• Develop machine learning framework PhysicsNeMo

• Validate applications on Nvidia’s products

• Characterize and optimize scientific AI workloads

• Stay up to date with research and innovations

• Implement and experiment with new ideas

Benefits:

• Intern benefits

Education Requirements:

• Pursuing an MBA (graduating in Dec 2026 or spring 2027)

Experience Requirements:

• Knowledge and experience with GPUs

• Understanding of GenAI (training and inference)

Other Requirements:

• Microsoft Excel (formulae and pivot tables)

• Python for data processing and automation

• Total cost of operation analysis

Responsibilities:

• Articulate product value proposition through performance metrics

• Work with marketing experts to highlight advancements

• Analyze total cost of operation estimates

• Synthesize customer feedback for tactical next steps