NVIDIA is hiring for Software Test Developer β Robotics in Pune under Job Requisition ID: JR2025050. This is an exciting opportunity for software testing engineers who want to move beyond traditional QA into robotics, embedded systems, GPU-based platforms, AI-assisted testing and autonomous systems.
π Job Details
- πΌ Role: Software Test Developer β Robotics
- π Job Requisition ID: JR2025050
- π Location: Pune, Maharashtra
- β±οΈ Experience: 2+ years of hands-on testing experience
- π’ Employment: Full-time
- π Education: B.Tech/M.Tech or equivalent in CS/CE/IT/ECE/EEE
- π Programming: Python and/or C/C++
- π€ Domain: Robotics, Embedded Systems, AI, GPU-based systems
- π§ OS: Linux
- π οΈ Focus: Test automation, CI/CD, robotics simulation, debugging and AI-powered workflows
π’ About NVIDIA
NVIDIA pioneered accelerated computing and has evolved from its GPU roots into a full-stack AI infrastructure company. NVIDIA’s current technology portfolio spans AI, accelerated computing, robotics, autonomous systems, digital twins, graphics and healthcare. The company was founded in 1993 and today has more than 42,000 employees across 38 countries, according to its 2026 corporate overview.
Robotics is an especially important area for NVIDIA. Its robotics ecosystem includes Isaac Sim, Isaac Lab, Isaac ROS and Isaac GR00T, combining simulation, accelerated computing and AI foundation models for intelligent robots. NVIDIA says more than 2 million developers use its technologies to accelerate robotics workflows.
πΌ Why This Role Is Excellent for Your Experience
This role can be a major career upgrade for a tester who wants to build expertise in engineering-driven QA rather than conventional functional testing.
You will gain exposure to:
- π€ Testing robotic perception, navigation, manipulation and simulation
- π§ AI-assisted testing and agent/workflow automation
- π Advanced Python automation and scripting
- βοΈ Embedded and GPU-based software validation
- π§ Linux debugging and complex command-line workflows
- π CI/CD and continuous testing
- π§ͺ Test strategy, coverage improvement and regression automation
- π Failure analysis and root-cause debugging
- π¦Ύ Autonomous systems and functional safety
- π§ Robot foundation models and AI inference pipelines
π― Expected NVIDIA Interview Rounds
For this Robotics Test Developer position, a realistic preparation structure would be:
- πΉ Round 1 β Recruiter/Technical Screening: Resume, experience, Python/C/C++, testing background and motivation.
- πΉ Round 2 β Coding & Problem Solving: Python programming, logical problems, scripting and debugging-oriented questions.
- πΉ Round 3 β Technical Test/Automation: Test-case design, automation architecture, CI/CD, Linux and embedded testing.
- πΉ Round 4 β Robotics/AI Technical Round: Robotics concepts, perception/navigation, simulation, AI tools and model-testing workflows.
- πΉ Round 5 β Hiring Manager/Team Discussion: Project ownership, debugging approach, collaboration and real-world problem solving.
π° Salary Range
NVIDIA does not publish an official salary range for this specific requisition. Current Glassdoor listings estimate βΉ3ββΉ8 LPA for the Software Test Developer β Robotics position in Pune.
However, this estimate should be treated cautiously because NVIDIA compensation can vary significantly by level, experience, skills, stock and overall compensation structure. For context, broader NVIDIA salary data shows considerably higher ranges for experienced software-quality and engineering positions.
π₯Preparation Tips
- π Make Python your strongest weapon: Practice writing automation scripts completely from scratch rather than relying only on frameworks.
- π§ Become comfortable with Linux: Prepare shell commands, processes, permissions, logs, networking, grep/sed/awk, SSH and debugging workflows.
- π€ Study robotics fundamentals: Understand perception, localization, navigation, path planning, manipulation, sensors and simulation.
- π§ͺ Build a robotics test scenario: Practice creating automated scenarios in a simulator and validating expected robot behavior.
- π§ Understand AI testing: Learn how AI agents/workflows can generate tests, analyze failures, improve coverage and automate repetitive QA tasks.
- π¦Ύ Explore NVIDIA Isaac: Understand the purpose of Isaac Sim, Isaac Lab, Isaac ROS and GR00T at a conceptual level.
- π Prepare ISO 26262: Know functional safety concepts, hazard analysis, safety goals, ASIL and how testing supports autonomous systems.
- π Practice root-cause analysis: Be ready to explain how you move from a failing test β logs β reproduction β isolation β root cause β regression test.
- π Think beyond pass/fail: Discuss coverage, accuracy, performance, throughput, reliability and false positives/negatives.
π οΈ Skills Required
Python | C/C++ | Linux | Embedded Testing | Test Automation | CI/CD | Robotics | Robotics Simulation | Perception | Navigation | Manipulation | AI/ML | AI Agents | Model Testing | NVIDIA Test Framework | Functional Safety | ISO 26262 | Debugging | Root Cause Analysis | Regression Testing | Test Strategy | Test Planning | ROS/ROS 2 | Isaac Sim | Isaac Lab | GR00T
π Resume Tip
Don’t position yourself simply as a βQA/Test Engineer.β Position yourself as an automation + embedded/AI testing engineer if your experience supports it.
Highlight:
- π Python automation projects with measurable results
- βοΈ Embedded/GPU testing experience
- π€ Robotics or simulation projects
- π CI/CD pipelines you implemented
- π§ͺ Test coverage improvements
- π Difficult bugs you root-caused
- π§ Linux-based debugging
- π§ AI tools used for testing or automation
- π¦Ύ ROS, Isaac, reinforcement learning or computer-vision projects
- π Metrics such as reduced regression time, increased coverage or improved test execution throughput
π© How to Apply
π Application Link: Click Here
Search for βSoftware Test Developer β Roboticsβ or JR2025050 on the official NVIDIA Careers portal. NVIDIA recommends aligning your resume closely with the position and applying directly through its careers site or LinkedIn. Referral candidates should ideally obtain the internal referral before applying, according to NVIDIA’s official hiring guidance. (NVIDIA)
π Final Takeaway: This is a standout opportunity for testers who want to enter the intersection of QA + Robotics + AI + Embedded Systems. If you have strong Python, Linux, automation and debugging skillsβand can demonstrate robotics, simulation or AI-testing experienceβyou can build a highly specialized profile that is difficult to replicate through conventional QA roles. NVIDIA’s expanding robotics ecosystem makes this particularly attractive for engineers targeting AI/Robotics QA, Embedded SDET, Autonomous Systems Testing and Physical AI careers.
