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What you’ll be doing:
Develop and test sample applications for chemistry and materials discovery using artificial intelligence.
Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.
Create clear, practical examples and documentation for developers and researchers.
What we need to see:
Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.
Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).
Basic understanding of chemistry or materials science principles.
Ways to stand out from the crowd:
Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.
Contributions to open-source projects related to AI or scientific computing.
Coursework or projects involving AI for scientific applications.
You will also be eligible for Intern
Applications for this job will be accepted at least until November 14,2025.NVIDIAThese jobs might be a good fit

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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$153,400—$230,200 USD
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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$145,300—$217,900 USD
Share
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$153,400—$230,200 USD
Share
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$153,400—$230,200 USD
Share
NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding the meaningful metric requirements, especially for L2++ and L3/L4.
What you’ll be doing:
Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing.
Identify the weak link of the L2++/L3/L4 SW stack and make it strong.
Integrate, test and sign-off SW stack's code change and model update, and drive theRoot-Cause-Corrective-Action(RCCA) process to continuously improve the quality of NDAS SW.
Decompose a complicated cross-function problem into actionable items and coordinate a concerted effort among multiple collaborators.
Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.
What we need to see:
BS/MS in Electrical Engineering, Computer Science, or related fields or equivalent experience.
5+ years related experience in software development, with hands-on dev experience in AD for automotive.
Great coding skills in modern C++ and scripting languages like Python.
Deep understanding of L2++/L3/L4 product features in the market.
Hands-on experience in debugging AD SW problems.
Excellent communication and interpersonal skills with ability to strive in a cross-disciplinary environment.
Ways To Stand Out From The Crowd:
Experience of working as a hands-on tech lead for one or more autonomous driving components.
Hands-on development experience of an SOP-ed AD and/or ADAS product.
Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component).
Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.
You will also be eligible for equity and .

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Pay Range:$20–$26/hour
Duration:May-August 2026
Full-Time (40 hrs/week)
Why You’ll Love Working Here:
Innovative Environment : Work on cutting-edge technologies and innovative projects that push the boundaries of what’s possible.
Professional Growth : Opportunities for continuous learning and professional development through training programs and workshops.
Collaborative Culture : A supportive and collaborative work environment where teamwork and knowledge sharing are encouraged.
Sustainability Commitment : Work for a company committed to sustainability and making a positive impact on the environment.
Inclusive Workplace : An inclusive and diverse workplace where all employees are valued and respected.
What You’ll Be Doing:
Collaborate with mentors and team members to understand business operations and processes.
Contribute to large-scale projects, taking on a leading role.
Build professional relationships across various departments.
Hands-on experience in a fast-paced manufacturing environment.
Participate in and select 2-3 hands-on projects related to: Engineering (Mechanical, Application, Electrical, Process, Medtech), Quality, Operations Leadership.
What We’re Looking For:
Pursuing a degree in Engineering, Business, or related program
Minimum GPA 3.0
Must have at least 3 semesters (spring, summer, fall) remaining to qualify for the program.
Available for full-time work (40 hours per week) during each 12 to 16-week rotation.
Adaptable and eager to explore different functional areas.
Enthusiastic and self-motivated individual with a passion for learning
How to Apply:
Apply online at

Share
What you’ll be doing:
Develop and test sample applications for chemistry and materials discovery using artificial intelligence.
Help develop AI first workflows using NVIDIA technology and popular deep learning frameworks.
Create clear, practical examples and documentation for developers and researchers.
What we need to see:
Pursuing a PhD in Chemistry, Materials Science, Computer Science, or a related field.
Familiarity with AI/ML concepts and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow).
Basic understanding of chemistry or materials science principles.
Ways to stand out from the crowd:
Experience with GPU programming or CUDA and machine learning frameworks such as PyTorch.
Contributions to open-source projects related to AI or scientific computing.
Coursework or projects involving AI for scientific applications.
You will also be eligible for Intern
Applications for this job will be accepted at least until November 14,2025.NVIDIAThese jobs might be a good fit