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Assistant Computer Chip Engineer Jobs in Virginia

Physical Design Engineer

Bristol, VA · On-site

$80 - $120/hr

We are seeking a Physical Design Engineer to contribute to our next‑generation chip designs. As a ... Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics. * Assist ...

Staff FPGA Engineer

Reston, VA · On-site

$120 - $160/hr

Bachelors degree in Electrical Engineering, Electronics Engineering, Computer Engineering or ... Experience with systems on a Chip (SoC) * Low-level firmware (C/C++) development for bring-up and ...

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Computer Engineer- Systems

Reston, VA · On-site

$100K - $150K/yr

We are seeking a DevOps engineer to assist in the development, operation, and maintenance of ... Able to interpret, implement, and verify government and contractor computer security policies as ...

Staff FPGA Engineer

Reston, VA · On-site

$150K - $195K/yr

Bachelors degree in Electrical Engineering, Electronics Engineering, Computer Engineering or ... Experience with systems on a Chip (SoC) * Low-level firmware (C/C++) development for bring-up and ...

Understanding of System-On-Chip (SoC) design with embedded processor on FPGA * Ability to perform ... Bachelor's degree in Electrical or Computer Engineering, or a related Science, Engineering or ...

Understanding of System-On-Chip (SoC) design with embedded processor on FPGA * Ability to perform ... Bachelor's degree in Electrical or Computer Engineering, or a related Science, Engineering or ...

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture ... Bachelor's, Master's, PhD or foreign equivalents in Computer Science, Computer Engineering ...

Bachelors degree in Electrical Engineering, Electronics Engineering, Computer Engineering or ... Experience with systems on a Chip (SoC) * Low-level firmware (C/C++) development for bring-up and ...

Showing results 41-60

Assistant Computer Chip Engineer information

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.

What are the most commonly searched types of Computer Chip Engineer jobs in Virginia?

The most popular types of Computer Chip Engineer jobs in Virginia are:

What cities in Virginia are hiring for Assistant Computer Chip Engineer jobs?

Cities in Virginia with the most Assistant Computer Chip Engineer job openings:

Physical Design Engineer

Fractile

Bristol, VA • On-site

$80 - $120/hr

Other

Posted 17 days ago


Job description

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next‑generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign‑off. You will collaborate with cross‑functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:
  • Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign‑off.
  • Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
  • Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
  • Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
  • Collaborate with DFT engineers to integrate design‑for‑test (DFT) structures into the physical implementation.
  • Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
  • Work closely with RTL and architecture teams to support design feasibility, constraints, and physical‑aware RTL design.
  • Work with advanced AI tools and models to improve productivity, analysis, and design quality.
Preferred Qualifications:
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
  • Familiarity with EDA tools for place & route, STA, and sign‑off.
  • Basic understanding of CMOS technology, semiconductor physics, and process limitations.
  • Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
  • Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
  • Excellent problem‑solving skills, communication, and teamwork in a collaborative design environment.
  • Interest in working with advanced AI tools and models as part of the design workflow.
  • Experience or coursework in high‑performance computing (HPC), AI accelerators, or networking chips is a plus.
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