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Computer Engineer

Round Rock,TX

591 Computer Engineer jobs in Round Rock,TX

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Applied Early Career Program - Field Service Engineer

Applied Materials

Austin, TX 78701

~ 22 min Onsite

  • Minimum Qualifications******
  • Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
  • Basic mechanical aptitude and interest in technical systems
  • Willingness to learn and read electrical and mechanical schematics
  • Ability to diagnose and solve basic technical problems
  • Strong written and verbal communication skills
  • Basic working knowledge of Microsoft Excel, Word, and PowerPoint
  • Valid driver's license and ability to obtain a passport, if required for travel
  • Ability to meet on-site safety, environmental, and customer requirements
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Mechanical Engineers-Data Center IT Rack Solutions

Dell

Round Rock, TX 78682

Paid Relocation to Round Rock, TX

Remote

  • Mechanical Engineer
  • Own complex mechanic
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New, Posted 1 day ago
Tube Bender

Apparent Technologies

Austin, TX 78758

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Intel Foundry LTD Yield Development Engineer

Intel

Austin, TX 78701

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Ph.D. in semiconductor science-related STEM degree in engineering, physical science, computer science, or related field.
  • 2+ years of experience in advanced semiconductor devices and process flow
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Advanced Electronics / Computer Field Technician

US Navy

Austin, TX 78745

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Manufacturing Engineering Supervisor

Samsung Electronics Co.

Austin, TX 78745

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelors' degree in Engineering or related technical field is required
  • 2-year minimum experience with demonstrated success in inventory analysis, production control, capacity planning, lean manufacturing, six sigma, or project management
  • Semiconductor manufacturing experience preferred
  • 5 years prior management/supervisory experience preferred
  • Excellent written and verbal communication skills with internal and external customers as well as during upper management presentations
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Senior Engineer - Mechanical Engineering Software Tools (Technical Staff) Engineering Technologist

Dell Careers

Austin, TX 78745

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Pipe Stress, Hydraulic & CFD Engineer

Dynamic Systems

Austin, TX 73344

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or master's degree in mechanical engineering, Aerospace Engineering, or a related field
  • Experience in one or more of the following: pipe stress analysis, hydraulic modeling, or CFD analysis (e.g., ANSYS Fluent, Siemens STAR-CCM+, CAESAR II, AutoPIPE, ROHR2, PIPE-FLO, or similar)
  • Strong understanding of fluid dynamics, heat transfer, and piping/HVAC system behavior
  • Ability to communicate complex analytical findings clearly to non-specialist engineers and project managers
  • Relevant experience level: approximately 2+ years (early-career) or 10+ years (senior/technical lead) — candidates at all qualified levels encouraged to apply
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New, Posted 1 day ago
iHire
Mechanical Engineer

L3Harris Technologies

Moody, TX 76557

Bilingual Preferred
New, Posted 1 day ago
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Software Developer Engineer Test [AQ-12373]

Aquent Talent

Austin, TX 78716

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
  • 8+ years of experience in software testing, test automation, software development, or quality engineering for enterprise applications in highly available, high-volume environments.
  • Hands-on experience designing, developing, and maintaining automated test frameworks using one or more modern programming languages and test automation ecosystems.
  • Strong experience with API testing, UI automation, service validation, integration testing, end-to-end testing, regression automation, test data validation, and release validation practices.
  • Experience validating cloud-native, containerized, distributed, or service-based applications deployed on platforms such as Kubernetes, Docker, GCP, AWS, Azure, or comparable enterprise platforms.
  • Experience with SQL or NoSQL databases, including test data creation, data validation, query-based verification, and quality checks across structured or semi-structured data.
  • Strong understanding of object-oriented programming, scripting, algorithms, data structures, debugging practices, service contracts, and automation design principles.
  • Experience with CI/CD pipeline integration, source control, work tracking, and collaboration tools such as GitHub, GitLab, Azure DevOps, Jira, Rally, Confluence, or comparable platforms.
  • Working experience or exposure to messaging, streaming, or event-driven technologies such as Kafka, IBM MQ, RabbitMQ, or cloud pub/sub services.
  • Experience applying BDD, TDD, ATDD, risk-based testing, shift-left testing, quality gates, and modern quality engineering practices across the SDLC.
  • Demonstrated hands-on experience using Generative AI coding assistants across SDLC workflows, including test generation, automation development, refactoring, unit testing, regression support, code reviews, scripting, troubleshooting, and documentation.
  • Practical familiarity with AI-assisted engineering tools in IDE, CLI, or workflow-based environments.
  • Working knowledge of Generative AI concepts, responsible AI-assisted engineering practices, prompt engineering, reusable prompts, custom instructions, and AI-augmented SDLC workflows.
  • Ability to use AI tools while maintaining strong engineering judgment, code review rigor, validation discipline, data protection awareness, and quality accountability.
  • Experience applying automation and AI-driven approaches to improve testing workflows, delivery processes, operational quality outcomes, and modernization initiatives.
  • Excellent problem-solving, critical thinking, communication, and decision-making skills, with the ability to work independently in a fast-paced, team-oriented environment.
  • Understands financial services domain capabilities and operations, with experience in the financial services industry.
  • Communicates clearly and effectively, with proven ability to guide and collaborate with engineers in a team-oriented environment.
  • Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, product owners, and adjacent teams to drive outcomes.
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