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Embedded Engineer

Manor,TX

607 Embedded Engineer jobs in Manor,TX

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Senior Engineer - Mechanical Engineering Software Tools (Technical Staff) Engineering Technologist

Dell

Austin, TX 78701

~ 19 min Onsite

  • Senior Engineer - Mechanical Engineering Software Tools (Technical Staff)
  • Engineering Technologist
  • Senior Engineer - Mechanical Engineering Software Tools (Technical Staff) Engineering Technologist
  • Lead CSG Mechanical Engineering tooling strategy by shaping organizational direction, influencing senior executives on investment priorities, predicting tool needs and budget requirements, and partnering with the Infrastructure Solutions Group (ISG) organization to ensure CSG needs are prioritized in enterpris
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Applied Early Career Program - Field Service Engineer

Applied Materials

Austin, TX 78701

~ 19 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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Manufacturing Engineering Supervisor

Samsung Electronics Co.

Austin, TX 78745

~ 19 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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New, Posted 15 hours ago
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Senior Cybersecurity Engineer, GRC Automation and Continuous Control Monitoring

Marathon Petroleum

Lockhart, TX 78644

~ 35 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree in Information Technology, related field or equivalent experience
  • 5+ years of relevant experience required
  • Experience designing, implementing, and scaling GRC, CCM, or compliance automation solutions within a regulated environment required
  • Experience in Python or comparable automation technologies, proficient in developing, integrating, and supporting automated workflows and REST API-based data integrations across multiple enterprise systems required
  • Hands-on experience integrating security-control data sources into a GRC / CCM evidence pipeline for continuous control testing required. This includes normalizing API, telemetry, configuration, vulnerability, identity, ticketing, and assessment data into control-level evidence, exception logic, ownership, frequency, and audit-ready records across at least three domains such as CNAPP / CSPM, SIEM / security data lake / XDR, CTEM / VM / ASPM, DSPM, ITSM, IAM, GRC / CCM, or AI/agent governance required
  • Experience building LLM-backed agentic workflows on Azure AI Foundry, GitHub, or open-source frameworks preferred
  • Familiarity with NIST AI RMF, the OWASP LLM Top 10, or comparable AI risk frameworks preferred
  • Professional certification, e.g. Security+, Network+, OSCP, GIAC, CEH preferred
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Intel Foundry LTD Yield Development Engineer

Intel

Austin, TX 78701

~ 19 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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Manufacturing Engineer (Brazing)

Vertiv Group

Austin, TX 78745

~ 19 min Onsite

  • BS degree in a technical field required, Manufacturing Engineering, Mechanical Engineering, or Industrial Engineering preferred. Experience may be substituted in lieu of a degree.
  • 5+ years of experience in a manufacturing or production environment required
  • Experience supporting production ramp, new product introduction (NPI), or early-stage manufacturing environments required
  • Capable of lifting up to 50 pounds.
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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

~ 19 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
Tube Bender

Apparent Technologies

Austin, TX 78742

New, Posted 23 hours ago
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Software Developer Engineer Test [AQ-12373]

Aquent Talent

Austin, TX 78716

~ 19 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.
SmartExplore AI is experimental.
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