N

NVIDIA

Designs the chips and software that power AI

Head of Startups - India and South Asia

Full-Time
No salary listed
Expert
Bachelor's, Master's, MBA
India+1 moreMore locations: Bengaluru, Karnataka, India
In PersonFrequent travel across India, Bangladesh, Sri Lanka, and neighbouring South Asian markets is required.
Sales & Account ManagementBusiness Development & Partnerships

About the job

Requirements
  • 12+ years of experience across start-up ecosystem development, developer or partner programmes, technology alliances, business development, or technical sales, including at least 5 years leading and developing a team.
  • A BS/BTech in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
  • Demonstrated ownership of a commercial target in a technology business, with a track record of turning early-stage relationships into revenue, design wins, or measurable platform adoption.
  • Working technical fluency in artificial intelligence and accelerated computing, including model training and inference, GPU selection and sizing, on-premises versus cloud trade-offs, and NVIDIA software-stack positioning.
  • Deep, current knowledge of the South Asian start-up ecosystem, including founders, investors, accelerators, incubators, research institutions, and the policy environment, plus a network to open doors quickly.
  • Proven success operating in a large, matrixed organization and influencing sales, marketing, engineering, and executive stakeholders without formal authority.
  • Willingness to travel frequently across the region.
Responsibilities
  • Own the South Asia Inception strategy and number, including regional priorities, coverage model, account tiering, forecasting, and reporting on pipeline, design wins, and consumption.
  • Lead and grow a team of Inception Partner and community programme managers by setting territory and vertical coverage, running the operating cadence, and raising technical fluency and commercial rigor.
  • Drive commercial outcomes with start-ups by moving accounts from awareness to technical discovery to named workloads and landing hardware and cloud opportunities through benefits, rebate, credit, and preferred-pricing programmes.
  • Build the partner and reseller motion with original equipment manufacturers, resellers, cloud providers, NVIDIA Cloud Partners, and system integrators.
  • Build relationships with venture capital firms, accelerators, research parks, IITs, university incubators, government innovation bodies, and industry associations.
  • Partner with solution architects and developer relations to make members productive on the NVIDIA stack and scale training, hackathons, workshops, and bring-your-own-project days.
  • Work with developer and Inception marketing on co-marketing plans, technical blogs, member showcases, testimonials, and video, and represent Inception at industry and investor events.
  • Own member onboarding, tier qualification, data hygiene, and reporting in NVIDIA programme and customer relationship management systems.
  • Provide structured intelligence on regional workloads, competitive pressure, sovereign artificial intelligence initiatives, and funding trends to product, field, and executive stakeholders.
Desired Qualifications
  • MBA or advanced degree.
  • Direct experience at a start-up, venture capital firm, accelerator, or incubator.
  • Hands-on experience with GPU infrastructure, cluster deployment, or machine learning operations, or prior experience as a solution architect or developer advocate.
  • Experience building go-to-market motions with cloud providers, original equipment manufacturers, resellers, or system integrators in India.
  • A public track record in the artificial intelligence community through speaking, writing, or convening founders and investors.
  • Experience with sovereign artificial intelligence, regulated-industry artificial intelligence, or edge and robotics deployments in emerging markets.

About the company

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Get referred to NVIDIA

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
  • Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
  • Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.

What critics are saying

  • Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
  • Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
  • Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.

What makes NVIDIA unique

  • Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
  • The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
  • People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Tech in Asia
Oct 15th, 2026
Synopsys and Siemens adopt Nvidia's CUDA-X libraries for chipmaking

Nvidia said Synopsys and Siemens are adopting its CUDA-X libraries for chipmaking. The announcement places Synopsys' adoption within a broader partnership with Nvidia on engineering and design. Nvidia said Siemens uses cuLitho for chip-pattern refinement and mask preparation. Siemens also works with Nvidia on industrial AI and manufacturing digital twins. Nvidia said cuPotential is available in early access. NanoVDB is open source within OpenVDB, while NPP is available through the CUDA Toolkit.

Nation Press
Oct 14th, 2026
Nvidia Backs UK AI and Quantum Startups in London

Nvidia CEO Jensen Huang announced investments in five UK startups at a London event, backing Boltz Bio, Foresight Works, Hivergé AI, PrimaMente, and quantum computing firm Riverlane — extending Nvidia's AI-ecosystem strategy across Europe's deep-tech capital.

Yahoo Finance
Oct 14th, 2026
Nvidia flagged generative AI two weeks before ChatGPT, as data centre sales hit $3.8B

Two weeks before ChatGPT launched, Nvidia's earnings call for the third quarter of fiscal 2023 held early signs of the generative AI boom. The November 16, 2022 report looked weak: revenue fell 17% year over year, gaming sales halved to $1.6 billion, and the company took a $702 million inventory charge tied to new US export rules on China. Yet data center revenue rose 31% to a record $3.8 billion, nearly two-thirds of the total. Management cited large language models and generative AI as growth drivers, and chief executive officer Jensen Huang called it "the beginning of the era of generative AI." Nvidia also began shipping its H100 data center chip that quarter. The stock was worth roughly $390 billion then, and $5.5 trillion in October 2026.

Yahoo Finance
Oct 14th, 2026
Nvidia shares fall 2.9% despite new 250kW AI rack designs

Nvidia is opening more of its Vera Rubin infrastructure designs to industry partners, though its shares fell 2.8% to $222.22 at 12:12 p.m. ET on October 14. The company's MGX 1.2 rack designs support up to 250 kilowatts. They include a liquid-cooled 5,000-amp busbar, standardised power and cooling connections, and support for 19-inch equipment. Nvidia's Vera CPU rack also handles orchestration and tool execution for AI agents. Separate grid-resilience specifications call for systems to recover to near-full load in under two seconds after disturbances. The figures describe design limits, not installed capacity or booked revenue. Nvidia's October 12 announcement gave no customer order value. Investors will watch for operating facilities and repeat purchases.

Yahoo Finance
Oct 14th, 2026
Nvidia unveils cuPotential as chip leaders adopt CUDA-X for AI-defined fabs, with up to 30x speedups

NVIDIA announced on October 14, 2026 that semiconductor leaders are adopting its CUDA-X libraries to build AI-defined fabs, factories where AI helps engineers optimise processes and fix production issues. The news came at SEMICON West in San Francisco. The company introduced cuPotential, a library for building AI agents that simulate how atoms and molecules interact. In early-access testing, it sped up already GPU-optimised workflows by an additional 2-3x. Synopsys is among the early users. Lam Research expects NanoVDB, an open source 3D data library, to speed up some wafer-etch modelling by up to 30x. Applied Materials, Cadence, KLA, and Siemens are also using NVIDIA's tools across chip design, manufacturing, and testing.