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Senior Software Test Developer - Robotics

NVIDIA

Senior Software Test Developer - Robotics

NVIDIA

India, Pune

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave

Flexible work arrangements

401(k) matching

Competitive salary and equity package

Team events and activities

Comprehensive health, dental, and vision insurance

Parental Leave

Flexible Hours

Equity

Healthcare

Required Skills

JavaScript

Python

PostgreSQL

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a dedicated and highly skilled Senior SWQA Test Developer to join our Embedded QA team. In this role, you join a dynamic group responsible for advanced computing systems. They develop and ensure quality for embedded products used in Artificial Intelligence, Retail, Healthcare, Media, Finance, and more. You will build, develop, and complete tests to ensure that our embedded software and hardware stack meets the highest standards of quality. Experience using AI tools to automate end-to-end QA workflows is essential, as this capability is central to our digital initiatives. Familiarity with developing, automating, or demonstrating sophisticated AI agents and workflows is also highly desirable. This position will require frequent collaboration with various engineering and release teams across multiple product verticals. Join us at the forefront of the Embedded and AI revolution and help shape the future of intelligent systems. You can read more about it here: https://www.nvidia.com/en-us/ai/

What you'll be doing:

  • Using AI Tools enabling and implementing CI/CD pipelines, adding tests to improve Code Coverage, fixing regression bugs, building/automating workflows/agents.

  • Using different approaches to train, re-train and fine-tune different models towards Agents/Workflows Accuracy, Performance & Throughput optimization.

  • Develop and implement tests on embedded/GPU based systems and components.

  • Build test strategy, detailed, and well-structured test plans and test cases based on high level customer requirement.

  • Identify, record, document, and regress internal and external filed bugs.

  • Participate in reviewing and influencing product feature requirements, specifications, and technical design documents.

  • Liaising with various teams including project management, hardware, and software developers, provide technical analysis of the Top Bugs filed and periodically publish statistical data reports to all stakeholders.

  • Application development, test tools and automation of tests using Nvidia Test framework.

What we need to see:

  • B.Tech. or M.Tech. or Equivalent degree in CS/CE/IT/ECE/EEE

  • 5+ years of hands on testing experience in complete embedded software stack

  • Excellent programming skills with Python and/or C/C++ and able to write logical scripts/code from scratch

  • Must have exposure to Linux and be aware of complex scripts/commands

  • Good knowledge in areas of Robotics perception, navigation, manipulation and simulation

  • Knowledge of robotics simulator engine and ability to develop automated test scenarios using the same

  • You have strong python skills – able to write logical scripts/code from scratch.

  • Development experience using AI development tool for testing

  • Hands on experience of functional safety standards (ISO 26262), particularly in Autonomous systems.

  • Passionate about debugging failures and root causing the issues

Ways to stand out from the crowd:

  • AI tools usage and testing optimization using the same.

  • Any degree/certification course on Machine learning (Artificial Intelligence)

  • Experience using cloud services such as AWS or Azure

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable technology employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR