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Assistant Computer Chip Engineer Jobs in Maynard, MA

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Essential Functions : * Assist electrical and packaging engineers with the design and layout of ... Experience with bare die techniques such as wire bond, flip chip, and interposer design * Formal ...

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Assistant Computer Chip Engineer information

See Maynard, MA salary details

$34.9K

$93.8K

$142.2K

How much do assistant computer chip engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for assistant computer chip engineer in Maynard, MA is $93,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $110,500.00 per year, depending on experience, location, and employer.

What is the difference between Assistant Computer Chip Engineer vs Hardware Design Engineer?

AspectAssistant Computer Chip EngineerHardware Design Engineer
Required CredentialsBachelor's in Electrical Engineering or Computer EngineeringBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentResearch labs, semiconductor companies, tech firmsDesign firms, semiconductor companies, tech corporations
Employer & Industry UsageCommon in tech and semiconductor industriesUsed in hardware development and chip design sectors
Common Search & ComparisonYesYes

The Assistant Computer Chip Engineer typically supports chip development through testing and analysis, often working under senior engineers. Hardware Design Engineers focus on designing and developing the physical architecture of chips. Both roles require similar educational backgrounds and are integral to the semiconductor industry, but they differ mainly in responsibilities and focus areas.

How much does an assistant computer chip engineer make?

An assistant computer chip engineer typically earns between $70,000 and $100,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while those with specialized skills in hardware design or verification can earn higher salaries.
Infographic showing various Assistant Computer Chip Engineer job openings in Maynard, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $93,826 per year, or $45.1 per hour.

SoC/ASIC Design Verification Engineer

zeroRISC

Boston, MA

Full-time

Re-posted 10 days ago


Job description

zeroRISC
 
zeroRISC is redefining chip security and supply chain integrity by empowering device owners and operators in crucial sectors like silicon production, IoT, and critical infrastructure with full device ownership, control, and visibility. Led by the founders of the OpenTitan secure silicon project, zeroRISC is driving commercial adoption of high assurance software and services rooted in open silicon. Our products forge an immutable connection between hardware and software, enabling users to trust their devices no matter where they’re built or where they’re deployed.
 
Role Overview
 
As a zeroRISC SoC/ASIC Design Verification Engineer, you will develop, verify, and maintain silicon in security-sensitive settings, including root-of-trust technology. You will elevate and solidify zeroRISC's status as the leading provider of secure silicon IP by developing essential verification collateral. You will interact directly with zeroRISC customers to understand their requirements and deliver solutions benefitting both customer and zeroRISC alike. You will participate in the whole chip design process from architecture to tapeout and silicon validation. By engaging with the world's premier open-source silicon community, you will support our mission of open secure silicon everywhere. We're looking for engineers with strong design verification skills (and a long view of secure system architecture) who are also fast, flexible learners and enthusiastic about open source.
Key Responsibilities:
  • Verify ASIC/SoC functionality, performance, security, and power throughout the full chip design life cycle, from test plan definition to sign-off
  • Build high quality verification environments at the chip/top and block levels following engineering best practices
  • Write thorough verification documentation including test plans
  • Diagnose, debug, and resolve regression failures and other errors
  • Achieve coverage closure
  • Ensure design functionality while upholding stringent timelines in collaboration with architecture, design, software, system, and silicon validation teams as well as engineering program managers
What We’re Looking For:
  • Bachelor’s degree in Electrical Engineering or Computer Science, or a related technical field or equivalent experience
  • 4 years of experience with simulation-based verification methodologies and languages such as UVM and SystemVerilog or formal verification-based techniques including industry standard tools
  • Experience developing and maintaining testbenches, test cases, and verification environments for simulation-based verification or formal verification environments
Preferred Qualifications (not required):
  • Master’s or PhD in Electrical Engineering or Computer Science, or a related technical field or equivalent experience
  • Knowledge of security ASICs or accelerators (e.g. cryptography accelerators or GPUs)
  • Knowledge of computer architecture and memory subsystem architectures
  • Experience verifying low power designs
  • Experience with scripting languages such as Python
Why Join Us?
  • Your work will directly contribute to the development of cutting-edge security solutions, protecting critical systems in industrial and IoT environments
  • As a seed-stage startup, this role offers significant opportunities for learning and career growth
  • Join a close-knit, innovative team where you can learn, grow, and contribute to building something meaningful in the security space

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.