ZipRecruiter

Log In

1

Debug Engineer Jobs in Dallas, TX (NOW HIRING)

Micron

Staff Design Engineer, HBM

Richardson, TX

Silicon Debug: Own end-to-end debug of silicon, system, and customer issues, driving root-cause ... Programming/scripting skills (Python preferred) for debug automation * Strong communication skills ...

Sanmina-SCI

*Debug Test Technician

Carrollton, TX · On-site

$21.25 - $29/hr

The Debug Techniciandiagnoses, troubleshoots, and repairs faults in electronic or mechanical ... They repair defects, ensure quality, document findings, and collaborate with engineers to improve ...

Sanmina

*Debug Test Technician

Carrollton, TX · On-site

$21.25 - $29/hr

The Debug Technician diagnoses, troubleshoots, and repairs faults in electronic or mechanical ... They repair defects, ensure quality, document findings, and collaborate with engineers to improve ...

Texas Instruments

Applications Engineer

Dallas, TX

Debug and characterize hardware at the board and system level to resolve customer design challenges ... Engineer your future. We empower our employees to truly own their career and development. Come ...

Purple Hires Inc

DFT Engineer

Plano, TX · Remote

We are seeking a highly experienced Lead ASIC DFT Engineer to architect, implement, verify, and debug advanced DFT solutions for complex ASIC and SoC designs. This role requires deep technical ...

Purple Hires Inc

ASIC DFT Engineer

Plano, TX · Remote

We are seeking a highly experienced Lead ASIC DFT Engineer to architect, implement, verify, and debug advanced DFT solutions for complex ASIC and SoC designs. This role requires deep technical ...

Polara Enterprises

Firmware Engineer

Garland, TX · On-site

The Firmware Engineer will develop and support our industry-leading traffic products. The ... Design, develop, code, test, and debug embedded software. * Integrate, verify, and validate new ...

Prolim Global

Hardware Test Engineer

Greenville, TX · On-site

Test Support Engineer (Electrical/Electronics) We are seeking a highly analytical and hands-on Test ... Perform PCB-level debugging and firmware updates. * Work with relay boards, interface boards, mux ...

Talent 101, Inc.

Sr. Design Verification Engineer

Dallas, TX · On-site

$134K - $164K/yr

Run and debug simulations using Cadence simulation toolchain * Report on progress, file bug tickets ... Strong C programming ability (bare metal, driver code, etc.) * Strong HW debugging experience

Purple Hires Inc

Lead ASIC DFT Engineer

Plano, TX · Remote

... Lead ASIC DFT Engineer to architect, implement, verify, and debug advanced DFT solutions for ... Perform DFT debug, failure analysis, root-cause investigation, and fault coverage closure for ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training platform. This is a hands-on, field-facing engineering role. You'll move between writing code ...

4MindsAI Inc.

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

You'll work directly with enterprise clients to deploy, debug, and optimize 4MINDS LLM training platform. This is a hands-on, field-facing engineering role. You'll move between writing code ...

next page

Showing results 1-20

All JobsDebug Engineer JobsDebug Engineer Jobs in Dallas, TX

Debug Engineer information

See Dallas, TX salary details

$38.7K

$101.1K

$136.6K

How much do debug engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for debug engineer in Dallas, TX is $101,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $115,700.00 per year, depending on experience, location, and employer.

What is the difference between Debug Engineer vs Software Tester?

AspectDebug EngineerSoftware Tester
Primary FocusIdentifying and fixing bugs in software codeFinding bugs through testing and validation
Skills & CertificationsProgramming, debugging tools, problem-solvingTesting methodologies, QA tools, attention to detail
Work EnvironmentDevelopment teams, coding environmentsQA labs, testing environments
Industry UsageSoftware development, tech companiesSoftware quality assurance, testing firms

While both Debug Engineers and Software Testers work to improve software quality, Debug Engineers focus on diagnosing and fixing bugs within the code, often working closely with developers. Software Testers primarily execute tests to identify issues before release. Both roles require strong analytical skills, but Debug Engineers typically have more programming expertise, whereas Testers focus on testing strategies and tools.

What are some common challenges Debug Engineers face when troubleshooting complex hardware or software issues?

Debug Engineers often encounter challenges such as identifying the root cause of intermittent or hard-to-reproduce bugs, working with incomplete documentation, and collaborating across multidisciplinary teams to resolve issues. They may need to balance multiple priorities while maintaining detailed records of their troubleshooting process. Effective communication with developers, quality assurance, and hardware teams is essential to ensure that findings are clearly understood and that solutions can be implemented efficiently.

What are Debug Engineers?

Debug Engineers are technical professionals responsible for identifying, analyzing, and resolving issues or defects in hardware or software systems. They use specialized tools and methodologies to diagnose problems, interpret error logs, and collaborate with development teams to implement fixes. Debug Engineers play a critical role in ensuring product quality and reliability by proactively finding and addressing bugs during the development and testing phases. Their expertise helps to minimize downtime and improve the user experience.

What does a debug engineer do?

A debug engineer is responsible for identifying, analyzing, and fixing software or hardware issues in products or systems. They use tools like debuggers and log analyzers, often working closely with development teams to improve system stability and performance. Strong problem-solving skills and knowledge of programming languages are essential for this role.

What engineers make $300,000 a year?

Senior engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology firms and startups.

What engineers make 200,000 a year?

Senior software engineers, data engineers, and specialized roles such as machine learning engineers often earn $200,000 or more annually, especially with experience, advanced skills, and working in high-demand industries. Compensation can also include bonuses, stock options, and other benefits, depending on the company and location.

What engineer makes $500,000 a year?

Highly experienced software engineers, especially those in specialized fields like machine learning, AI, or senior roles at major tech companies, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

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

To thrive as a Debug Engineer, you need strong analytical skills, a background in computer science or electrical engineering, and expertise in troubleshooting hardware and software issues. Familiarity with debugging tools such as oscilloscopes, logic analyzers, JTAG interfaces, and experience with programming languages like C/C++ are typically required. Attention to detail, effective communication, and perseverance are vital soft skills for diagnosing complex problems and collaborating with cross-functional teams. These skills ensure timely identification and resolution of technical issues, improving product reliability and accelerating development cycles.
What are popular job titles related to Debug Engineer jobs in Dallas, TX? For Debug Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Debug Engineer jobs in Dallas, TX look for? The top searched job categories for Debug Engineer jobs in Dallas, TX are:
Debug Engineer jobs near you
Infographic showing various Debug Engineer job openings in Dallas, TX as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $101,085 per year, or $48.6 per hour.
AI Native Software Engineer (Please only apply if you are Local to Dallas)

AI Native Software Engineer (Please only apply if you are Local to Dallas)

1 point system

Dallas, TX • On-site

Contractor

Posted 26 days ago

Job description

Key Note: Resume must include the product/application/system delivered into production

✅ Must‑Have Requirements

  • Seniority: 8–10+ years software engineering experience; Senior/Lead IC; technical pod lead.
  • Enterprise Experience: Large enterprise systems, high‑visibility, multi‑user environments.
  • Production AI:
    • Built & supported AI systems in production (not POCs/demos).
    • Hands‑on with agents, RAG, orchestration workflows.
    • Monitoring, logging, performance, latency, reliability, debugging.
  • Engineering Depth: Personally writes, deploys, debugs code; can explain build, tradeoffs, challenges.
  • Cloud Native & Tooling:
    • APIs/microservices
    • Containers (Docker/Kubernetes) or serverless
    • CI/CD pipelines
    • Infrastructure as Code (Terraform, Helm)
    • Monitoring/observability tools
  • Resume/LinkedIn Quality: Clean, concise, error‑free; consistent dates/titles; clear ownership & outcomes.

Responsibilities

  • AI Agent Engineering: Retrieval (RAG), orchestration workflows, tool/function invocation, policy‑based routing.
  • Evaluation & Monitoring: Accuracy, latency, reliability frameworks; observability for agent lifecycle.
  • AI Platform Integration: OpenAI, Anthropic, Vertex AI, OSS models; abstraction layers; cost/performance optimization.
  • Cloud‑Native Development: Microservices, containers, serverless, CI/CD, IaC, monitoring, fault tolerance.
  • Application Development: AI‑powered apps, enterprise platform/API integration, backend services for agent workflows.
  • Testing & Performance: Test strategies, latency/throughput/accuracy/cost measurement, debugging production systems.

Required Skills

  • Python, Java, or similar backend languages.
  • Cloud‑native systems (APIs, microservices, containers, serverless).
  • CI/CD pipelines, Infrastructure as Code, monitoring/observability.
  • Hands‑on with AI platforms (OpenAI, Claude, Vertex AI, etc.).

⭐ Preferred Skills

  • Agent frameworks (LangGraph, AutoGen, CrewAI).
  • Multi‑agent/distributed AI systems.
  • Enterprise‑scale system integration.
  • AI workload optimization (cost/performance).