2

Asic Verification Engineer Remote Jobs in Austin, TX

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... ASIC development * Hardware/software integration * Validation * High-performance networking ...

Be Seen First

Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly ... Reviewing full coding-agent session logs to assess what a model investigated, verified, assumed, or ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... You will design reproducible environments, deterministic verification, and reference solutions for ...

Showing results 21-40

Asic Verification Engineer Remote information

See Austin, TX salary details

$87.2K

$154.7K

$205.2K

How much do asic verification engineer remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for asic verification engineer remote in Austin, TX is $154,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,800.00 and $174,000.00 per year, depending on experience, location, and employer.

What does an ASIC Verification Engineer do?

An ASIC Verification Engineer is responsible for ensuring that an Application-Specific Integrated Circuit (ASIC) design functions as intended before it is manufactured. They develop and implement test plans, create verification environments using hardware description and verification languages like SystemVerilog or UVM, and run simulations to detect design flaws. Working remotely, these engineers collaborate with design teams using digital tools and communication platforms to review specifications, debug issues, and validate functionality. Their work is critical to reducing errors, saving costs, and ensuring high-quality chip production.

What are the key skills and qualifications needed to thrive as an ASIC Verification Engineer remote?

To thrive as an ASIC Verification Engineer (Remote), you need a solid background in digital design, verification methodologies, and hardware description languages such as Verilog or VHDL, often supported by a degree in electrical or computer engineering. Proficiency with simulation tools (e.g., Synopsys VCS, Cadence Xcelium), scripting languages (Python, Perl), and familiarity with UVM or SystemVerilog is typically required. Strong problem-solving skills, effective communication, and the ability to work independently and collaboratively in distributed teams are valuable soft skills. These competencies are crucial for ensuring robust chip validation, efficient remote collaboration, and successful project delivery in complex hardware development environments.

What are the main challenges of working remotely as an ASIC Verification Engineer, and how can they be addressed?

One of the main challenges of working remotely as an ASIC Verification Engineer is effective collaboration with design and verification teams, especially when debugging complex issues that benefit from real-time, face-to-face communication. Additionally, accessing hardware labs or simulation environments may require coordination with on-site colleagues. To address these challenges, it’s important to leverage video conferencing, screen sharing, and collaborative project management tools. Proactively communicating your progress and questions, and establishing regular check-ins with your team, can help ensure alignment and maintain productivity in a remote setup.

What is the difference between Asic Verification Engineer Remote vs Asic Design Engineer?

AspectAsic Verification Engineer RemoteAsic Design Engineer
Required CredentialsBachelor's/Master's in Electrical Engineering or Computer Engineering; FPGA/ASIC verification certificationsBachelor's/Master's in Electrical Engineering or Computer Engineering; VLSI design certifications
Work EnvironmentRemote, collaborative teams, virtual toolsTypically in-office or hybrid, design labs, CAD tools
Industry UsageCommon in semiconductor, electronics, and tech companies

While both roles require a strong background in VLSI and digital design, Asic Verification Engineers focus on testing and validating ASIC designs remotely, whereas Asic Design Engineers are involved in creating and designing ASICs, often working on-site. The roles share similar credentials but differ in daily tasks and work environment.

What are popular job titles related to Asic Verification Engineer Remote jobs in Austin, TX?

For Asic Verification Engineer Remote jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Asic Verification Engineer Remote jobs in Austin, TX look for?

The top searched job categories for Asic Verification Engineer Remote jobs in Austin, TX are:

What cities near Austin, TX are hiring for Asic Verification Engineer Remote jobs?

Cities near Austin, TX with the most Asic Verification Engineer Remote job openings:

Infographic showing various Asic Verification Engineer Remote job openings in Austin, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $154,705 per year, or $74.4 per hour.

Full Stack Software Engineer - Remote

YO AI Labs

Austin, TX • Remote

$80 - $120/hr

Full-time

Posted 7 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.