NVIDIA Corporation

Senior ASIC Timing Engineer

NVIDIA Corporation$136K — $264K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or equivalent experience in Electrical or Computer Engineering; 5 years of experience, or Master's with 3 years in Timing and STA
  • Hands-on experience with full-chip/sub-chip Static Timing Analysis (STA) and timing convergence
  • Expertise in fixing timing paths and ECOs including crosstalk and noise analysis
  • Experience in physical design optimization such as synthesis, placement, and routing
  • In-depth knowledge of industry-standard STA and timing tools
  • Familiarity with deep sub-micron process nodes and hands-on timing modeling experience

Responsibilities

  • Lead timing analysis and closure for NVIDIA's GPUs, CPUs, LPUs, and SoCs at multiple levels
  • Collaborate with RTL, DFX, and other teams to create timing closure strategies
  • Improve timing convergence flows in association with methodology teams
  • Drive timing and power convergence and implement ECOs for projects
  • Contribute to innovative projects enhancing the company's technology

Benefits

  • Hybrid working model
  • Creative and autonomous work environment
  • Participation in innovative, cutting-edge projects
  • Opportunity to work in a leading AI computing company
  • Professional growth in a fast-evolving tech landscape
Full Job Description
We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence.

What you'll be doing:
  • Drive Timing Analysis and Closure: Lead the timing analysis and closure processes for NVIDIA's GPUs, CPUs, LPUs, and SoCs at block level, cluster level, and full chip level.
  • Collaborate with Cross-Functional Teams: Work closely with RTL, DFX, Clocks, and other teams to devise timing closure strategies, create timing constraints, and drive timing and power convergence as well as implement ECOs.
  • Contribute to Cutting-Edge Projects: Play a pivotal role in the success of our innovative projects and advancement of our technology. Leverage your expertise to improve timing convergence flows in collaboration with methodology teams.


What we need to see:
  • BS (or equivalent experience) in Electrical or Computer Engineering with 5 years' experience or MS (or equivalent experience) with 3 years' experience in Timing and STA
  • Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management.
  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis.
  • Experience in physical design and optimization e.g., synthesis, placement, routing, logic restructuring, etc. to improve timing and power.
  • Expertise and in-depth knowledge of industry standard STA and timing convergence tools.
  • Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes.


Ways to stand out from the crowd:
  • Background in domain specific STA and timing convergence, such as GPUs, CPUs, LPU or SOCs
  • Background in logic synthesis and equivalence checking/FV.
  • Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.
  • Understanding and timing closure of digital logic/macros in AMS designs/IPs.
  • Experience in methodology and/or flow development as well as automation.


NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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