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Asic Engineering Jobs in Texas (NOW HIRING)

ASIC Developer

Austin, TX · On-site

$117 - $175/hr

Senior RTL Design Engineer - Accelerator IP Location: Austin, TX (Hybrid; on‑site) Your Next Big ... End‑to‑end ASIC flow mastery: coding, linting, CDC, synthesis, timing closure. * Proven ability ...

ASIC Design Engineer

Austin, TX · On-site

$130 - $210/hr

We're looking for ASIC design engineers to contribute to and own blocks in the development of the A-0 and A-1 wafer products, across both the XPU, memory chiplet and other dies on the wafer. Ideal ...

ASIC Engineer, Annapurna Labs

Austin, TX · On-site

$164K/yr

We're looking for an ASIC Design Engineer to help us trail-blaze new technologies and architectures ... D. degree in Electrical Engineering or related field - Experience with formal verification ...

ASIC Verification Engineer

Austin, TX · On-site

$140 - $210/hr

About Ericsson Silicon Ericsson's ASIC IP organization is a growing, world-class semiconductor ... Excellent written and verbal communication skills * BS/MS in Electrical Engineering, Computer ...

Senior ASIC Design Engineer

Austin, TX · On-site

$140K - $175K/yr

MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a hardware engineer. Qualifications * Have gone through a complete ASIC design cycle * Experience in ...

... Engineering, Computer Science, or related field Preferred Qualifications Experience with multiple technology domains (SerDes, PCIe, ARM, DSPs, Ethernet) Familiarity with hardware emulation platforms ...

MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a hardware engineer. Qualifications * Have gone through a complete ASIC design cycle * Experience in ...

Meta is hiring an ASIC Design Verification Engineer within the Infrastructure Silicon organization ... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ...

Meta is hiring ASIC Design Verification Engineer within the Infrastructure organization. We are ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

MS or PhD in Electrical Engineering, or related field. * 5+ years of post-degree experience as a hardware engineer. Qualifications * Have gone through a complete ASIC design cycle * Experience in ...

Showing results 21-40

Asic Engineering information

What is the difference between Asic Engineering vs FPGA Design?

AspectAsic EngineeringFPGA Design
Required CredentialsBachelor's or Master's in Electrical Engineering, VLSI, or related fields; often certifications in ASIC designBachelor's or Master's in Electrical Engineering, Digital Design, or related fields; certifications less common
Work EnvironmentDesigning custom chips in semiconductor labs or design houses; involves hardware and software integrationDeveloping programmable logic designs in labs or FPGA development environments; focuses on reconfigurable hardware
Industry UsageUsed in high-volume consumer electronics, telecom, and automotive industries for custom chip solutionsCommon in prototyping, testing, and specialized applications across various industries

Asic Engineering and FPGA Design share foundational knowledge in digital logic and hardware description languages. However, Asic Engineers focus on designing permanent, high-volume chips, while FPGA Designers work with reconfigurable hardware for testing and specialized tasks. Both roles require similar educational backgrounds but differ in application and design processes.

What job categories do people searching Asic Engineering jobs in Texas look for?

The top searched job categories for Asic Engineering jobs in Texas are:

What cities in Texas are hiring for Asic Engineering jobs?

Cities in Texas with the most Asic Engineering job openings:

Senior ASIC Design Verification Infrastructure and Tools Engineer - GPU

Austin, TX


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


Full-time

Posted 11 days ago


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.

NVIDIA is seeking a Senior ASIC Compose Verification Infrastructure and Tools Engineer to advance the systems that qualify, integrate, and deliver complex ASIC IP across multiple products. This role is ideal for an RTL compose or pre-silicon verification engineer who has developed a strong interest in infrastructure, automation, CI, metrics, and efficiency tooling. Our high-speed IO infrastructure team develops the flows that keep large-scale ASIC development moving: integration automation, pre-submit qualification, build and verification infrastructure, operational metrics, and debug workflows. You will work across build, verification, firmware, methodology, and infrastructure teams to make sophisticated engineering systems faster, more reliable, and easier to reason about. You'll also have access to innovative AI efficiency tools, and we're looking for someone excited to help us apply them effectively.

What You'll Be Doing:

  • Apply practical AI workflows where they build leverage, including debug assistance, run triage, summarization, documentation, and workflow automation.

  • Build and improve high-speed IO integration, build, simulation, and pre-submit qualification flows for large ASIC IP development.

  • Improve CI reliability, turnaround time, debuggability, and scalability across distributed compute environments.

  • Root-cause complex failures across development, verification, build systems, tools, infrastructure, and compute environments.

  • Turn recurring integration or qualification difficulties into durable automation and process improvements.

  • Define, publish, and actively use metrics for integration latency, flow health, failure trends, and engineering efficiency.

  • Bring metrics into engineering discussions to guide priorities, forecast risk, and optimize the systems we operate.

  • Collaborate with ASIC designers, verification engineers, firmware engineers, methodology teams, and infrastructure partners.

  • Dive into unfamiliar technical areas, understand how the system works end to end, and drive ambiguous problems to closure.

What We Need To See:

  • BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.

  • 5+ years of relevant industry experience.

  • Strong understanding of ASIC development workflows, including builds, simulation, regressions, debug, integration, and qualification.

  • Experience with verification methodology such as UVM or similar.

  • Strong working knowledge of Verilog/SystemVerilog, including RTL development or pre-silicon verification/debug experience.

  • Exposure to industry simulation and debug tools such as VCS, Verdi, Xcelium, or similar.

  • Strong programming skills in Python, Perl, or another scripting/systems programming language.

  • Experience with SystemVerilog and object-oriented verification environments.

  • Strong root-cause analysis skills, especially for intermittent or hard-to-isolate infrastructure failures.

  • Self-directed execution: ability to take a loosely defined technical problem, investigate across domains, and deliver a working solution.

Ways To Stand Out From The Crowd:

  • Established passion for infrastructure, automation, and driving efficiency gains outside your core RTL or DV tasks.

  • Strong curiosity about how complex systems operate and a track record of diving across build, verification, tooling, and infrastructure boundaries to solve problems.

  • Practical experience applying AI tools to engineering workflows, including debug automation, summarization, or tool-assisted development.

  • Strong engineering habits centered on clear data: defining useful signals, using them in technical conversations, and optimizing systems against them.

  • Experience providing ASIC IP for several products, projects, or SoCs simultaneously.

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 17, 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.

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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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