BSP Validation Engineer at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
4+ years of proven experience in pre and post silicon validation
Extensive experience with debugging tools, SCM (GIT, Perforce) infrastructure, etc
Extensive experience with automation of large scale test plans
Ability to triage issues within FW and drivers
Proficiency in scripting languages
Strong problem-solving skills and attention to detail
Excellent communication, teamwork & leadership skills

Responsibilities

Collaborate with cross-functional teams to develop and execute validation strategies for BSP
Develop test infrastructure and automate test cases using Python
Triage issues using WinDbg and other debugging tools
Be hands-on with integrating different components to build a BSP package
Participate in bringup activities and lead validation efforts for new products
Stay at the forefront of the latest advancements in CI/CD, BSP, SoC & platform technologies and drive their adoption within the team

Skills

Key technologies and capabilities for this role

PythonWinDbgGitPerforceTest AutomationBSP BringupSoC ValidationCI/CDFirmware DebuggingDriver TriageSCMIntegration TestingScripting

Questions & Answers

Common questions about this position

What education and experience are required for the BSP Validation Engineer role?

A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field is required, along with 4+ years of proven experience in pre and post silicon validation.

What key skills are needed for this position?

Candidates need extensive experience with debugging tools, SCM (GIT, Perforce) infrastructure, automation of large scale test plans, triaging issues in FW and drivers, proficiency in scripting languages, and strong problem-solving, communication, teamwork, and leadership skills.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this BSP Validation Engineer position?

Ways to stand out include expertise in silicon bringup of SOC products, experience with SoC firmware packaging and boot sequence, developing test automation from scratch using AI tools, and providing creative solutions to improve efficiency of system testing and development.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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