1

Convergence Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related ... Experience in high-performance, low-power physical design implementation or design convergence with ...

New

$136 - $265/hr

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 ...

New

Senior Custom Circuits Timing Engineer

Santa Clara, CA · Hybrid

$122K - $168K/yr

Apply knowledge and experience to standardize and improve timing convergence flows working with ... Work with circuit designers, tool developers, and methodology teams to validate transistor level ...

Display Module Design Engineer

Bodega Bay, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

... convergence Host regular supplier meetings to drive engineering activities to meet project milestones and convergence on any open issues Investigate new display and sensing technologies, perform ...

Showing results 41-60

Convergence Engineer information

See salary details

$31K

$95.8K

$127.5K

How much do convergence engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for convergence engineer in the United States is $95,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Convergence Engineer vs RF Engineer?

AspectConvergence EngineerRF Engineer
CredentialsBachelor's in Electrical Engineering or related; certifications like Cisco or RF-specific certificationsBachelor's in Electrical Engineering, Electronics, or Communications; RF certifications
Work EnvironmentDesigning and integrating communication systems, working in labs and on-siteDesigning, testing, and optimizing radio frequency systems, often in labs or field environments
Industry UsageTelecommunications, networking, wireless communicationWireless communication, telecommunications, defense
Common Search/ComparisonConvergence Engineer vs RF Engineer

The main difference is that a Convergence Engineer focuses on integrating multiple communication technologies and systems, while an RF Engineer specializes in radio frequency design and testing. Both roles require similar technical credentials and often work in telecommunications or wireless industries, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a convergence engineer?

To thrive as a Convergence Engineer, you need a solid understanding of networking, telecommunications, and IT systems, often supported by a degree in computer science or engineering. Familiarity with VoIP, unified communications platforms, network protocols, and certifications like CCNA or CompTIA Network+ are typically required. Strong problem-solving, teamwork, and communication skills help you collaborate across departments and resolve complex integration issues. These competencies are crucial for ensuring seamless connectivity and optimal performance in converged technology environments.

What is a convergence engineer?

A Convergence Engineer is a professional who integrates different communication systems—such as voice, data, and video—onto a unified network infrastructure. They are responsible for designing, implementing, and maintaining networks that support multiple forms of communication, ensuring seamless interoperability and security. Convergence Engineers often work with technologies like VoIP, unified communications, and cloud-based platforms, enabling businesses to streamline operations and improve collaboration. Their expertise is crucial in environments where efficient, reliable, and integrated communications are essential.

How does a convergence engineer typically collaborate with cross-functional teams during large-scale integration projects?

Convergence Engineers often work closely with teams from IT, network operations, software development, and project management to ensure seamless integration of diverse technologies. They facilitate communication between departments, clarify technical requirements, and help troubleshoot compatibility issues as systems converge. Regular meetings, documentation updates, and collaborative problem-solving sessions are common, allowing the Convergence Engineer to play a key role in aligning project goals and timelines across teams. This collaborative environment is both rewarding and fast-paced, offering opportunities to develop strong teamwork and communication skills.
More about Convergence Engineer jobs

What job categories do people searching Convergence Engineer jobs look for?

The top searched job categories for Convergence Engineer jobs are:

Infographic showing various Convergence Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $95,796 per year, or $46.1 per hour.

Senior ASIC Timing Engineer

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 16 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

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.
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 August 14, 2026.
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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993