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System Test Engineer

San Francisco,CA

1125 System Test Engineer jobs in San Francisco,CA

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Unmanned Ground Vehicle (UGV) Systems Engineering SME

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Robotics, Computer Engineering, Aerospace Engineering, or a related technical discipline.
  • 10+ years of experience supporting defense systems engineering programs, including experience with unmanned or robotic systems.
  • Secret Clearance Required; #qinetiqclearedjob
  • Demonstrated knowledge of systems engineering principles across the full system life-cycle.
  • Experience supporting the integration of complex hardware and software systems.
  • Experience with requirements management, interface management, technical reviews, and engineering documentation.
  • Strong analytical, technical writing, and presentation skills.
  • Ability to communicate effectively with government and contractor stakeholders.
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Combat Engineer - Entry Level

US ARMY

Oakland, CA 94601

Requires TravelUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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System Protection Engineer

PG&E Corporation

San Ramon, CA 94583

Hybrid~ 51 min

  • Bachelor's degree in Electrical Engineering or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US
  • 3 years of cumulative experience in the field of system protection
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Senior Mechanical Engineer (Manufacturing Engineering)

Velo3D

Fremont, CA 94536

$145,000-$170,000/yr
Health InsuranceRetirement Benefit

  • Bachelor's degree from an accredited university in mechanical engineering or a related field or higher
  • 8+ years of experience in Mechanical Systems Design and Development
  • 5+ years of CAD experience (Solidworks prefered) Solidworks PDM, Solidworks Electrical
  • 8+ years' experience designing manufacturing systems for semiconductor, machining, automation, materials processing, or other related industrial capital equipment applications (Additive Manufacturing, Semiconductor, Solar, Robotics, CNC, or Biomedical Manufacturing Equipment Design Engineering experience)
  • Experience in GD&T; and quality detail drawing documentation.
  • Thermal Analysis, FEA, CFD, and simulation software.
  • Systems level thinker with experience working on complex mechanical systems
  • Willing and able to work "Hands-on" to build, integrate and test newly developed systems and/or subsystems
  • Self-driven and independent thinking. Ability to work independently.
  • Strong desire to work for a company on disruptive technologies and make it a success.
  • Strong written and oral communication skills.
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OTR CDL-A Flatbed Driver: Earn $1,045.00 – $2,185.17 per week. Full Benefits

System Transport

Stockton, CA 95206

$2,185.17/wk
~ 1 hr 36 min OnsiteUrgently HiringPaid Time OffRetirement Benefit

  • CDL-A
  • Age 21+
  • Safe driving record
  • Background Check Required
  • Clean Drug Test Required
  • Clean Clearinghouse Required
  • Must be able to lift a 90-lb tarp onto a 5-ft platform twice (required; tested at orientation)
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Fuel Systems Specialist - 21 Weeks Paid Training, No Experience Required

U.S Army Reserve

San Francisco, CA 94112

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 21-week paid training program to gain skills and certifications in bulk fueling systems operations, fuel system maintenance, fuel accountability, forecasting, fuel distribution, bulk fuel distribution, petroleum storage, packaged petroleum logistics, petroleum shipment, environmental regulation compliance, hazmat compliance, emergency management, technical inspections, and OSHA regulations.
  • Advanced certifications require additional full funded training programs.
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Sr. Manager, Engineering - Linux

Aptiv PLC

Walnut Creek, CA 94598

~ 36 min OnsiteHealth Insurance

  • Bachelor's degree in computer science, Electrical Engineering, or related field
  • 10+ years of engineering experience
  • 5+ years of engineering management experience including senior leadership roles
  • Experience managing teams of 30+ engineers
  • Background in embedded systems, Linux, or systems software
  • Strong understanding of embedded Linux systems
  • Experience with Linux kernel development or user space applications
  • Knowledge of software development lifecycle and agile methodologies
  • Familiarity with build systems, CI/CD, and development tools
  • Understanding of code review processes and quality assurance
  • Experience with technical architecture and strategic planning
  • Proven ability to lead and develop engineering teams
  • Strong communication and interpersonal skills
  • Experience with performance management and career development
  • Ability to balance technical and business priorities
  • Project management and resource allocation experience
  • Strong customer engagement and stakeholder management skills
  • Experience mentoring senior engineers and technical leads
  • Strong public speaking and presentation abilities
  • Team management – Manage a team of up to 40 engineers including Managers, MTS, SMTS, and Senior Engineers
  • Conduct regular 1-on-1s, performance reviews, and career development discussions
  • Facilitate team meetings, sprint planning, and retrospectives
  • Resolve conflicts and maintain team cohesion
  • Ensure team members have necessary resources and support
  • Provide mentorship to junior managers and technical leads
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MGR II MANUFACTURING ENGINEERING

TE Connectivity

Redwood City, CA 94061

~ 33 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering required
  • Minimum of 8-12 years of progressive manufacturing engineering experience
  • Minimum of 5 years leading engineering teams in a manufacturing environment
  • Demonstrated experience in manufacturing process development, process validation, automation, equipment design, and industrialization
  • Strong knowledge of Lean Manufacturing, Six Sigma, statistical analysis, and structured problem-solving methodologies
  • Proven experience leading capital projects, equipment implementation, and capacity expansion initiatives
  • Strong project management, prioritization, and resource planning skills
  • Excellent leadership, coaching, and cross-functional collaboration abilities
  • Strong analytical and data-driven decision-making skills
  • Six Sigma Green Belt required; Black Belt preferred
  • Experience with PFMEA, Control Plans, Process Validation, SPC, DOE, and process capability analysis
  • Excellent verbal and written communication skills in English
  • Must be eligible to work under ITAR (International Traffic in Arms Regulations) compliance
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Manager, AI Engineer

KPMG

San Francisco, CA 94112

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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Police Officer (Secret Service Police), $75,000 Recruitment Incentive

The United States Secret Service

San Francisco, CA 94161

OnsiteUrgently Hiring

  • U.S. citizenship is required.
  • Possess a current valid U.S. driver's license.
  • Must be at least 21 years old at the time of application and under 40 at referral.
  • Carry and use a firearm.
  • Maintaining firearm proficiency is also mandatory.
  • Possess uncorrected visual acuity of no worse than 20/100 binocular. Possess corrected visual acuity of 20/20 or better in each eye.
  • Hearing loss, as measured by an audiometer, must not exceed 25 decibels (A.S.A. or equivalent I.S.O.) in either ear in the 500, 1000, and 2000 Hz ranges.
  • Applicants must be able to hear the whispered voice at 15 feet with each ear without the use of a hearing aid.
  • Submit to a drug test prior to your appointment and random drug testing while you occupy the position.
  • Complete 12 weeks of intensive training at the Federal Law Enforcement Training Center (FLETC) in Glynco, GA or Artesia, NM and 17 weeks of specialized training at the James J. Rowley Training Center in Laurel, MD.
  • Certify that you have registered with the Selective Service System or are exempt from having to do so, if you are a male applicant born after December 31, 1959.
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