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Top Semiconductor Companies Jobs (NOW HIRING)

ChipAgents

ML Systems Engineer

San Jose, CA · On-site

$150 - $350/hr

Founded by experts in AI and semiconductor engineering, we partner with top semiconductor firms ... ChipAgents is deployed in production to companies that have shipped 16B chips. Position Overview We ...

ChipAgents

ML Systems Engineer

San Jose, CA · On-site

$350K/yr

Founded by experts in AI and semiconductor engineering, we partner with top semiconductor firms ... ChipAgents is deployed in production to companies that have shipped 16B chips. Position Overview We ...

Insilico

Design Verification Engineer

Irvine, CA

$146K - $178K/yr

With a current clientele of top semiconductor companies, Insilico has a wide and diversified spectrum of service offerings in expansive domains within the ambit of Embedded Design & Software, and in ...

Cadence Systems

Software Engineer II

San Jose, CA · On-site

$101K - $188K/yr

Many of our customers (top semiconductor companies), government research agencies and universities have partnered with us on this journey. Responsibilities will include software development, debug ...

Cadence

Software Engineer II

San Jose, CA · On-site

$101K - $188K/yr

Many of our customers (top semiconductor companies), government research agencies and universities have partnered with us on this journey. Responsibilities will include software development, debug ...

Insilico

Design Verification Engineer

Irvine, CA · On-site

$146K - $178K/yr

With a current clientele of top semiconductor companies, Insilico has a wide and diversified spectrum of service offerings in expansive domains within the ambit of Embedded Design & Software, and in ...

Insilico

SoC Verification Engineer

Austin, TX · On-site

With a current clientele of top semiconductor companies, Insilico has a wide and diversified spectrum of service offerings in expansive domains within the ambit of Embedded Design & Software, and in ...

Insilico

Physical Design Engineer

San Jose, CA

$159K - $164K/yr

With a current clientele of top semiconductor companies, Insilico has a wide and diversified spectrum of service offerings in expansive domains within the ambit of Embedded Design & Software, and in ...

Insilico

Physical Design Engineer

San Jose, CA · On-site

$159K - $164K/yr

With a current clientele of top semiconductor companies, Insilico has a wide and diversified spectrum of service offerings in expansive domains within the ambit of Embedded Design & Software, and in ...

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Top Semiconductor Companies information

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$11K

$48.8K

$62.5K

How much do top semiconductor companies jobs pay per year?

As of Sep 4, 2026, the average yearly pay for top semiconductor companies in the United States is $48,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $57,500.00 per year, depending on experience, location, and employer.

What are top semiconductor companies?

Top semiconductor companies are leading businesses in the design, manufacturing, and sale of semiconductor devices, which are essential components in electronic devices such as computers, smartphones, and cars. These companies often innovate in areas like microprocessors, memory chips, and integrated circuits, powering modern technology. Major players in the industry include Intel, TSMC, Samsung, NVIDIA, and Qualcomm, each specializing in different aspects of semiconductor production. Their products are crucial for the advancement of computing, telecommunications, and consumer electronics worldwide.

What types of collaborative projects can I expect to work on as an engineer at a top semiconductor company?

Engineers at leading semiconductor companies often work on cross-functional teams that include professionals from design, manufacturing, testing, and product management. Typical projects might involve developing cutting-edge chips, optimizing fabrication processes, or implementing advanced testing protocols. Collaboration is essential, as projects usually require input from various specialists to ensure products meet performance and reliability standards. You'll likely participate in regular meetings, brainstorming sessions, and technical reviews, offering plenty of opportunities to learn from colleagues and contribute to innovative solutions.

What are the key skills and qualifications needed to thrive as a semiconductor engineer, and why are they important?

To thrive as a Semiconductor Engineer, you need strong expertise in electronics, materials science, and device physics, often supported by a degree in electrical engineering or a related field. Proficiency with CAD tools, semiconductor fabrication equipment, and simulation software is typically required, along with relevant certifications in cleanroom safety or Six Sigma. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills that help drive innovation and resolve complex technical challenges. These skills and qualifications are crucial for developing advanced semiconductor devices, ensuring manufacturing efficiency, and maintaining a competitive edge in the rapidly evolving industry.

What is the difference between Top Semiconductor Companies vs Semiconductor Process Engineer?

AspectTop Semiconductor CompaniesSemiconductor Process Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Materials Science, or related fieldsBachelor's or Master's in Electrical Engineering, Materials Science, Chemical Engineering, or related fields
Work EnvironmentCorporate offices, R&D labs, manufacturing facilitiesCleanrooms, manufacturing plants, R&D labs
Employer & Industry UsageMajor tech firms like Intel, TSMC, SamsungSemiconductor manufacturing companies, foundries, chip design firms
Common Search & ComparisonTop semiconductor companiesSemiconductor process engineer roles

While Top Semiconductor Companies refer to leading firms in the industry, Semiconductor Process Engineers are specialized professionals working within these companies to develop and optimize manufacturing processes. Both are interconnected, with process engineers playing a crucial role in the success of top firms.

More about Top Semiconductor Companies jobs

What cities are hiring for Top Semiconductor Companies jobs?

Cities with the most Top Semiconductor Companies job openings:

What states have the most Top Semiconductor Companies jobs?

States with the most job openings for Top Semiconductor Companies jobs include:

What job categories do people searching Top Semiconductor Companies jobs look for?

The top searched job categories for Top Semiconductor Companies jobs are:

Top Semiconductor Companies jobs near you
Infographic showing various Top Semiconductor Companies job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $48,775 per year, or $23.4 per hour.

ML Systems Engineer

ChipAgents

San Jose, CA • On-site

$150 - $350/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

About ChipAgents

ChipAgents is redefining the future of chip design and verification with agentic AI workflows. Our platform leverages cutting‑edge generative AI to assist engineers in RTL design, simulation, and verification, dramatically accelerating chip development. Founded by experts in AI and semiconductor engineering, we partner with top semiconductor firms, cloud providers, and innovative startups to build intelligent AI agents. The company is a Series A company backed by tier‑1 VC firms. ChipAgents is deployed in production to companies that have shipped 16B chips.

Position Overview

We are seeking an ML Systems Engineer to optimize the performance and efficiency of large language model inference powering our agentic AI platform. This is a technical role focused on low‑level systems optimization. You will implement performance optimizations, build evaluation harnesses, and architect multi‑node clusters for training and inference that push the limits of LLM throughput and latency. Your work will directly impact the responsiveness and cost‑efficiency of AI agents used by leading semiconductor companies to design chips.

Key Responsibilities
  • Design, deploy, and optimize LLM inference systems across multi‑node clusters, maximizing throughput and minimizing latency for production workloads.
  • Implement and benchmark concrete inference optimizations.
  • Profile and analyze inference bottlenecks at the systems level—from GPU kernel execution to memory bandwidth constraints.
  • Build robust evaluation harnesses and benchmarking frameworks that measure accuracy, throughput, latency, and resource utilization across various parallelism strategies.
  • Collaborate with research scientists to integrate new model architectures and optimizations into production inference infrastructure.
  • Investigate and apply emerging techniques from research papers and open‑source projects to continuously improve inference performance.
Qualifications
  • B.S., M.S., or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).
  • Experience with large‑scale ML systems, GPU computing, or high‑performance inference optimization.
  • Strong proficiency in Python and C++/CUDA; hands‑on experience with SGLang, vLLM, PyTorch, or similar inference frameworks.
  • Deep understanding of GPU architecture, memory hierarchies, and parallel computing paradigms.
  • Experience deploying and optimizing LLMs in production: model serving, batching strategies, distributed inference, or quantization.
  • Strong systems‑level debugging and profiling skills; comfort working at multiple layers of the stack from CUDA kernels to application logic.
  • Familiarity with distributed computing frameworks (Ray, multi‑node training/inference) is a plus.
  • Self‑directed problem solver who is interested in working on ambitious optimization challenges.
Why Join Us
  • Work on cutting‑edge LLM inference optimization problems with real‑world production impact.
  • Access to substantial GPU compute resources for experimentation and benchmarking.
  • Collaborate with a world‑class team spanning AI research, systems engineering, and EDA.
  • Shape the performance characteristics of AI systems used by leading semiconductor companies.
What we offer
  • $150K/yr – $350K/yr + Offers Equity. We are open to discuss above‑scale compensation with exceptional candidates on a case‑by‑case basis.
  • Unlimited PTO and full benefits (medical, vision, dental, 401k).
  • Two engineering‑centric offices with free parking, private gym, and free lunch, drinks and snacks.
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