Full-Time
Senior System Software Engineer
Graphics
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
No salary listed
Hyderabad, Telangana, India + 2 more
More locations: Pune, Maharashtra, India | Bengaluru, Karnataka, India
In Person
On-site in Pune, Hyderabad, or Bengaluru, India.
Bachelor's
 Software Engineering (2) |
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- B.E./B.Tech or higher degree in Computer Science/Engineering with significant graphics, system software, AI, or automation-related project or thesis work
- 5 + years of experience and passion for developing system software, device drivers, embedded software, graphics applications, or engineering automation systems
- Strong C/C++ programming skills and a deep understanding of computer graphics, computer architecture, operating system fundamentals, algorithms, and machine learning
- Familiarity with building, integrating, or deploying AI agents, AI-assisted developer tools, or automation systems for engineering workflows
- Passion for identifying repetitive or high-value engineering workflows and automating them through intelligent software solutions
- Diligence and proven ability to multitask in a dynamic environment with shifting priorities and changing requirements
- Develop and maintain outstanding DirectX Graphics Drivers for NVIDIA GPUs, with a focus on supporting single-GPU system architectures
- Development of new OS and new chip graphics features for upcoming operating systems and GPU architectures
- Developing and driving quality improvement initiatives to deliver the best possible gaming experience on NVIDIA GPUs
- Advancement of graphics and AI-based post-processing features and graphics algorithms for high-end rendering
- Development of fundamental software stacks and features to use AI in graphics
- Exploring methods to automate engineering workflows using AI agents, involving activities such as debugging, testing, triage, code analysis, documentation, and boosting developer efficiency
- Building, deploying, and continuously improving agent-based automation solutions that help engineering teams move faster and with higher quality
- Collaborating with teams across the company to plan and drive software objectives for the team
- Having knowledge of 3D graphics concepts and graphics programming using DirectX or OpenGL is highly advantageous
- Working experience inside operating system kernels and device drivers is also a plus
- Familiarity with machine learning algorithms and the mathematical concepts that underpin them is useful
- Practical experience with LLMs, AI agents, retrieval systems, tool-based automation, automation frameworks, or AI-supported software engineering tools is greatly beneficial
- Established skill in spotting and automating routine or complicated engineering workflows with AI-powered systems is a significant benefit
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
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Simplify's Take
What believers are saying
- NVIDIA’s August 10, 2026 financing platforms target over $500 billion for AI infrastructure.
- Vera Rubin production shipments start this fall, creating a fresh upgrade cycle by 2027.
- SB Energy’s Ohio campus guarantees exclusive NVIDIA AI compute, securing power-constrained demand.
What critics are saying
- U.S. export controls keep NVIDIA shut out of China’s largest advanced-AI chip market.
- Commerce tightened overseas-subsidiary rules on May 31, 2026, crushing workaround sales channels.
- AMD MI350 and future MI450 racks directly attack NVIDIA pricing and platform leadership in 2026.
What makes NVIDIA unique
- NVIDIA shipped Vera Rubin into full production by May 31, 2026, ahead of rivals.
- Blackwell and Rubin plus CUDA lock developers into NVIDIA’s hardware-software stack.
- August 10, 2026 partnerships with Apollo, BlackRock, and KKR turn compute into finance.
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Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -2%2 year growth
↓ -3%CNBC host Jim Cramer expressed continued confidence in Nvidia despite the stock's modest 13.7% year-to-date gain in 2026. He suggested the chipmaker doesn't need to invest in AI companies anymore, believing Elon Musk will become its biggest customer. Cramer predicted Musk could purchase Nvidia's entire Vera Rubin production. However, concerns persist about AI spending sustainability, with UBS projecting hyperscaler capital expenditure growth could slow to 25% in 2027 and 6% in 2028. Nvidia's Q1 fiscal 2027 results showed data centre revenue jumping 92% annually to $75 billion, with 75% gross margins. The company guided Q2 revenue to $91 billion, exceeding analyst estimates of $86.84 billion. Bulls project earnings per share could exceed $15 in 2027 and $20 in 2028.
NVIDIA announced partnerships with Blackstone, Apollo, BlackRock, Brookfield, Goldman Sachs and KKR in August 2026 to create AI compute financing platforms targeting over $500 billion in third-party capital for AI infrastructure. Final agreements remain pending. The same month, Blackstone was reportedly evaluating a potential $1.50 billion to $2.00 billion acquisition of Indian renewables platform Blupine Energy from Actis. The moves highlight Blackstone's focus on digital infrastructure and energy transition assets. Analysts note the NVIDIA partnership aligns with Blackstone's existing data centre and private credit commitments, potentially deepening its AI infrastructure financing role. However, concerns about interest rates, deal flow, and market volatility persist. Blackstone's narrative projects $22.5 billion revenue and $9.8 billion earnings by 2029.
Whale Rock Capital Management slashed its Nvidia stake by approximately 64% in the second quarter, reducing its position from 1.04 million shares to 377,204 shares, according to the hedge fund's latest 13F filing. The move appears to be a portfolio rebalancing rather than a retreat from AI semiconductors. During the same period, Whale Rock dramatically increased its Advanced Micro Devices holdings from 69,211 shares to roughly 1.51 million shares, whilst also reducing its Broadcom stake. Nvidia, which designs GPUs and accelerated computing platforms for AI infrastructure, currently trades near $215 per share with a market capitalisation of $5.24 trillion. The company recently reported quarterly revenue growth of 85% year-over-year. The stock trades at a forward price-to-earnings multiple of 25.2 times.
Nvidia continues to dominate the AI chip market despite competition from Advanced Micro Devices and Qualcomm, according to recent data. The company's data centre revenue reached $75.2 billion in the first quarter of fiscal 2027, growing 92% year over year. By comparison, AMD's data centre revenue totalled $6.7 billion in its most recent quarter, whilst Qualcomm is targeting $15 billion in data centre revenue by fiscal 2029. Nvidia controls an estimated 74% of the AI inference chip market and holds 80% to 90% of the overall AI chip market, according to Silicon Analysts. With the AI chip market expected to reach $2 trillion by 2030, Nvidia's dominant position suggests significant long-term growth potential.
Nvidia has paid $7 billion for a non-exclusive licence to Poolside AI's Model Factory system and taken a minority stake in the company, according to reports from Newcomer, Bloomberg, and The Information. The deal includes a $6 billion licensing fee and a $1 billion investment at a $12 billion pre-money valuation. The transaction follows similar arrangements with Groq ($20 billion) and Enfabrica ($900 million). By structuring deals as licensing agreements rather than acquisitions, Nvidia avoids antitrust scrutiny whilst securing access to critical AI infrastructure and talent. In this case, 109 Poolside employees are transferring to Nvidia, though co-founders Jason Warner and Eiso Kant remain to lead the independent entity. Poolside's existing investors, including Bain Capital Ventures, eBay, and Citi Ventures, are expected to receive the $6 billion licensing payment by end-2027.