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Engineer Communications

Austin,TX

4392 Engineer Communications jobs in Austin,TX

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Program Engineering Manager II (Hybrid)

BAE Systems

Austin, TX 78753

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Active Secret Security clearance
  • Bachelors degree in an engineering discipline, and at least six years of experience in engineering development of complex electronic systems
  • Experience leading diverse multi-disciplinary teams in the solution of complex technical problems
  • Experience leading hardware development projects in a defense environment including planning, estimating, design management, and product verification
  • Experience using Design to Cost (DTC) methods; leading to technical solutions that meet affordability and producibility requirements
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Manufacturing Engineer (Brazing)

Vertiv Group

Austin, TX 78745

Onsite

  • Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Materials/Metallurgical Engineering, Industrial Engineering, or another relevant technical discipline
  • Equivalent experience may be considered
  • 5+ years of experience in a manufacturing, production engineering, materials, or process engineering environment
  • Demonstrated ability to troubleshoot and improve manufacturing processes in a production environment
  • Strong analytical and problem-solving skills
  • Ability to work hands-on with production teams and equipment
  • Strong communication and cross-functional collaboration skills
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Hardware Engineering Lead - EO/IR Products (Sign On Bonus Available)

BAE Systems

Austin, TX 78753

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Proven CAM experience in developing, implementing, and monitoring project schedules, budgets, and productivity metrics to ensure efficient team performance
  • Experience with Earned Value Management System (EVMS) project execution and practices
  • Experience supporting Bid & Proposal activities, including developing proper BOEs
  • BSEE or BSME with 8+ years and commensurate experience
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Product Development Engineer, Annapurna Labs Silicon Operations

Annapurna Labs (U.S.)

Austin, TX 78716

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Design Engineer Intern

YETI Coolers LLC

Austin, TX 78745

Remote

  • Pursuing B.S. in Mechanical, Manufacturing, Plastics or similar engineering discipline
  • Junior/Third Year Students preferred
  • Proficient in 2D, 3D CAD software
  • Solidworks preferred
  • Strong communication and presentation skills
  • FEA analysis experience preferred
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Principal Systems Development Engineer

Dell

Round Rock, TX 78682

~ 21 min Onsite

  • Principal Systems Development Engineer
  • Own the system-level architecture and engineering of complete AI racks across compute, mechanical, thermal, software, diagnostics, and factory enablement
  • Work hands-on at Dell facilities, Dell factories, and customer data centers
  • Partner with engineering SMEs across Dell and with partner technology providers
  • Turn complex, large-scale AI deployments into repeatable, manufacturable solutions
  • This is a highly visible role spanning Engineering, Operations, and Product Management
  • Round Rock, Texas or Hopkinton, Massachusetts
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Manufacturing Engineering Manager (Onsite)

Collins Aerospace

San Marcos, TX 78666

~ 40 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • U.S. citizenship is required
  • Onsite
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ASIC Engineer, Annapurna Labs

Amazon.com Services LLC

Austin, TX 78716

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12Y Geospatial Engineer

U.S Army Reserve

Temple, TX 76502

Onsite

  • Ser ciudadano estadounidense
  • Tener entre 17 y 34 años de edad
  • Tener diploma de High School o GED
  • Cumplir con las reglas sobre los tatuajes
  • No tener infracciones legales graves
  • No tener complicaciones médicas
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Intern - AI Systems and Infrastructure Engineering

Micron Technology

Austin, TX 78745

Paid Relocation to Austin, TX

RemoteHealth InsurancePaid Time Off

  • Minimum Qualifications Currently pursuing a Master's or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Demonstrated experience with AI systems, machine learning systems, computer systems research, or systems software development through coursework, research, or projects.
  • Understanding of Large Language Models (LLMs), including transformer execution, attention mechanisms, KV cache behavior, batching, token-level latency, throughput, and memory performance considerations.
  • Proficiency in Python and C/C++, with hands-on experience developing, debugging, and optimizing software in Linux environments.
  • Experience using GPU-based performance analysis tools and at least one modern AI framework or serving stack, such as PyTorch, vLLM, TensorRT-LLM, NVIDIA Dynamo, or related technologies.
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