NVIDIA is seeking a Senior Technical Sourcing Lead to help us build the strength of our Hardware Sourcing team. 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. If you're creative and autonomous, we want to hear from you!
As a Senior Technical Sourcing Lead supporting our hardware staffing team, you will play a key role in working with recruiters and hiring managers to develop sourcing strategies that will identify and attract talent to our growing business. You will develop, implement, and execute a broad sourcing and outreach strategy and think creatively about how to build a candidate pipeline.
What you’ll be doing:
Partner with recruiters and the business to develop an inclusive candidate pool pipeline.
Work with engineering leaders and recruiters in defining and maintaining hiring needs while understanding technical requirements of a role, the engineering challenge, and how it fits into the organization.
Identify prospects through strong research by using sourcing platforms such as LinkedIn Recruiter, Stack Overflow, Github etc, and by targeted networking through alumni groups, meet-ups and conferences.
Execute on tactical outreach, craft custom outreach messaging, and screen prospective candidates.
Work with coordinators and recruiters to ensure a remarkable candidate experience.
What we need to see:
Bachelor’s Degree or equivalent experience.
8+ overall years of progressive experience in Talent Acquisition, with 5+ years’ technical sourcing expertise for hardware related roles.
2+ years of experience in leading, including mentoring, coaching, and leading project and/or a team of sourcers or recruiters.
Proficient in direct sourcing using LinkedIn, user groups, social media, and other recruiting tools.
Deep knowledge of sourcing for building chip teams, specifically ASIC/Verification, VLSI (Physical Design, Circuit Design, CAD, etc) and Mixed Signal Circuit Design Engineers.
Experience using sourcing tools, technologies, and platforms (e.g., AI, LinkedIn Recruiter, ATS capabilities, CRM systems)
Excellent interpersonal, communication and networking skills.
Self-motivated with strong time management and organization skills.
Creative problem solver as it relates to sourcing and recruiting passive talent.
Ways to stand out from the crowd:
Ability to prioritize multiple priorities to implement high quality deliverables.
Consistent track record of finding creative ways to identify talent.
Proven oral and written communication skills with attention to detail.
Eightfold CRM and Workday ATS experience is a plus
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- Bachelor's degree or equivalent experience
- 8+ years progressive Talent Acquisition experience with 5+ years technical sourcing for hardware roles
- 2+ years leading or mentoring sourcers or recruiters and leading projects or a team
- Proficient in direct sourcing using LinkedIn, user groups, social media, and other recruiting tools
- Deep knowledge of sourcing for chip teams: ASIC/Verification, VLSI (Physical Design, Circuit Design, CAD), Mixed Signal Circuit Design Engineers
- Experience using sourcing tools and platforms (AI tools, LinkedIn Recruiter, ATS capabilities, CRM systems)
- Excellent interpersonal, communication, and networking skills
- Self-motivated with strong time management and organizational skills
- Creative problem solver for sourcing and recruiting passive talent
- Experience with Eightfold CRM
- Experience with Workday ATS
- Ability to prioritize multiple priorities and deliver high-quality results
- Consistent track record of creative candidate identification strategies
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
