Integration Developer jobs
Nvidia Senior Developer Relations Manager - COSMOS Foundation Model... United States, Texas
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- US, CA, Santa Clara
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .
These jobs might be a good fit
Unity Senior Software Developer United States, Oregon
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- Design, build, and maintain backend services and APIs that support ad delivery
- Work on scalable, high-availability systems used across Unity’s ads ecosystem
- Collaborate with engineers, product managers, and data teams to deliver new features
- Improve performance, observability, and cost-efficiency of backend systems
- Contribute to architectural decisions and technical direction of the platform
- Experience building backend services at scale
- Proficiency in Golang,and Google Cloud
- Familiarity with cloud infrastructure and observability tools (Kubernetes, Ray, etc.)
- Understanding of API design, distributed systems, and system reliability
- Experience in ad tech, programmatic advertising, or real-time bidding systems
- Background with infrastructure-as-code (e.g., Terraform)
- Familiarity with networking, caching, or real-time data pipelines
- Relocation support is not available for this position
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$135,800—$203,600 USDUnity Senior Software Developer United States, California, San Francisco
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- Design, build, and maintain backend services and APIs that support ad delivery
- Work on scalable, high-availability systems used across Unity’s ads ecosystem
- Collaborate with engineers, product managers, and data teams to deliver new features
- Improve performance, observability, and cost-efficiency of backend systems
- Contribute to architectural decisions and technical direction of the platform
- Experience building backend services at scale
- Proficiency in Golang,and Google Cloud
- Familiarity with cloud infrastructure and observability tools (Kubernetes, Ray, etc.)
- Understanding of API design, distributed systems, and system reliability
- Experience in ad tech, programmatic advertising, or real-time bidding systems
- Background with infrastructure-as-code (e.g., Terraform)
- Familiarity with networking, caching, or real-time data pipelines
- Relocation support is not available for this position
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$135,800—$203,600 USDNvidia HPC Middleware Developer United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- US, TX, Remote
- US, WA, Remote
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What we need to see:
5 years’ experience of Programming in C/C++
3 years’ experience in Linux environment and tools
Deep knowledge of Networking Protocols InfiniBand, Ethernet
Deep knowledge in computer architecture and operating systems
Experience in performance optimizations
MSc in computer science / software engineering (or equivalent experience).
Ways to stand out from the crowd:
You have positive attitude and work well with others.
PhD in CS/EE/Math/Physics
Knowledge in MPI and High-performance computing
Knowledge in RDMA technology
Open Source Software Contributor
You will also be eligible for equity and .
Nvidia Principal System Integration Engineer - Autonomous Vehicles United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you'll be doing:
Lead, build, and drive the architecture and engineering alignment for key automotive customer projects through all phases, from bringup to production and post-production, using the DRIVE platform.
Architect and build a seamless integration environment to amplify the scalability of our software solutions for our partners.
Collaborate with senior leaders across the company to evolve the product initiatives, roadmaps, and processes. Drive innovation bringing in new technologies.
Lead bring-up activities and provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.
What we need to see:
BE/BS or MS in computer science, robotics, computer engineering, or equivalent experience.
Understand the technological evolution in the self driving industry.
15+ years of deep hands-on technical experience.
Extensive strong technical leadership experience across large-scale organizations.
Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
Broad and deep technical knowledge across software and hardware.
Proven ability to lead teams across multiple hardware, software and business groups through design and implementation.
Excellent communication and interpersonal skills and the ability to influence large organizations in meaningful ways.
Ways to stand out from the crowd
Familiar with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems.
Software development experience on QNX or equivalent RTOS.
Applied knowledge in resolving sophisticated, interrelated issues emanating from sensors to other embedded controllers on the vehicle and from interactions between applications.
Knowledge of GPU programming such as OpenCL or CUDA and understanding of the NVIDIA DRIVE platform.
Contributions to or ownership of open-source project and mentorship experience.
You will also be eligible for equity and .
Nvidia Quality Assurance Software Developer Test Engineer United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 6 Days Ago
- job requisition id
What you’ll be doing:
As a Software Development Engineer in Test, you will take part in technical design and implementation of tests for NVIDIA software products with the goal to identify defects early in the software development lifecycle. You will also build tools that accelerate execution workflows for the organization. In this role you can expect to:
Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.
Develop automated end to end tests for NVIDIA device driver and SDKs on windows platform. Execute manual and automated tests, identify, and report defects. Measure code coverage, analyze and drive code coverage improvements.
Develop applications and tools that bring data driven insights to development and test workflows.
Build tools/utility/framework inPython / C / C++ which would help automate and optimize the testing workflows in GPU domain.
Write maintainable, reliable, and well detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness
Optimally estimate and prioritize tasks in order to create a realistic delivery schedule and work on challenging technical and process issues.
Generate and test compatibility across a range of products and interfaces.
Work closely with leadership to report progress by generating effective and impactful reports
What we need to see:
B.E./B. Tech degree inComputer Science/IT/Electronics engineeringwith strong academics or equivalent experience
5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.
Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.
Good experience with using AI development tools for test plans creation, test cases development and test cases automation
Experience with testing RESTful APIs and the ability to conduct performance and load testing to ensure the application can handle high traffic and usage.
Experience working with databases and storage technologies like SQL and Elasticsearch
Good understanding of OS fundamentals, PC Hardware and troubleshooting.
Skillful at debugging issues and have experience using debugging tools like WinDBG/gdb
The ability to collaborate with multiple development teams to gain knowledge and improve test code coverage
Excellent written, verbal, analytical and problem-solving skills and ability to work with a team of engineers in a fast paced environment
Ways to stand out from the crowd:
Prior project experience with building ML and DL based applications would be a plus
Good understanding of testing fundamentals
Good problem solving skills (solid logic to apply in isolation and regression of issues found).
You will also be eligible for equity and .
Nvidia Program Manager Developer Documentation United States, California
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- US, CA, Remote
- time type
- Full time
- posted on
- Posted Today
- job requisition id
What you'll be doing:
Lead documentation planning and prioritization sessions with cross-functional partners, embedding documentation requirements into Product Sprint Goal PRDs from day one
Manage documentation workflow using Kanban, maintaining clear ownership, dependencies, and status visibility while tracking delivery through sprint cycles and product releases
Champion Context Kits (structured prompts and guidelines) that help distributed teams build quality documentation with AI assistance, streamlining reporting and revealing operational insights
Report on critical metrics including coverage, cycle time, sprint predictability, and developer satisfaction, identifying blockers and resolving delivery impediments
Work closely with Technical Program Managers to integrate documentation checkpoints into release trains, facilitating backlog refinement, stand-ups, and retrospectives
What we need to see:
Bachelors Degree (or equivalent experience) with 8+ years in program management, technical operations, or agile delivery with strong proficiency in Jira, Confluence, and agile tracking tools
Proven track record coordinating work across matrixed organizations with clear communication style—leading effective meetings, writing streamlined updates, and aligning collaborators
Active AI tool user (ChatGPT, Claude, Copilot, or similar) who demonstrates data-driven decision-making and can influence without authority across Product, Engineering, Marketing, and Customer Success
Ways to stand out from the crowd:
Experience coordinating developer documentation in platform or SaaS companies, working alongside Technical Program Managers in complex product organizations
Hands-on experience with Agile/Scrum/Kanban, continuous delivery, and docs-as-code workflows (Git, Markdown, static site generators)
Demonstrated process improvements that measurably boosted team efficiency, with knowledge of developer platforms, SDKs, APIs, or simulation technologies
Background in gaming, graphics, AI, or high-performance computing with proven AI workflow optimization—status reports, meeting summaries, workflow analysis, documentation reviews
Developed tailored GPTs, prompt libraries, Context Kits, or reusable templates that optimized team efficiency and content quality
You will also be eligible for equity and .
Share
- US, CA, Santa Clara
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What You'll Be Doing:
Serve as a trusted technical consultant for developers implementing NVIDIA Physical Ai technology and World Foundation Models.
Accelerate critical workloads by demonstrating ground breaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
Advise on technical enablement resources such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world problems in Physical Ai with VLM’s and multimodal generative models.
Guide partners and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Work closely with partner engineering teams, technical leaders, and decision-makers to uncover goals, tackle technical challenges, and endorse protocols for successful integrations.
Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience in Physical Ai, Generative Ai or Omniverse.
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative Ai, applied machine learning, or physical AI development.
Strong foundation in deep learning algorithms, including hands-on experience with LLMs, VLMs, multimodal generative models and World Foundation Models.
Experience with model quantization and modern inference optimization techniques (e.g., KV cache, in-flight batching, parallelization mapping).
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers toexecutives.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing vertical-specific solutions such as deploying LLMs, VLMs, diffusion models, or World Foundation Models (WFMs) at scale in real-world applications, especially for robotics or autonomous vehicles.
Experience with data curation pipelines and tools like NVIDIA NeMo Curator for large-scale video data processing and model post-training.
Direct experience with NVIDIA Cosmos, Isaac Sim, Isaac Lab, or Omniverse platforms for synthetic data generation and physical AI simulation.
Proficient in building, optimizing, and deploying models using PyTorch or TensorFlow in production-grade environments.
Successful history of building and scaling developer communities and delivering impactful technical enablement
You will also be eligible for equity and .
These jobs might be a good fit
