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Software Developer Engineer

San Francisco,CA

1315 Software Developer Engineer jobs in San Francisco,CA

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Combat Engineer - Find Success in US Army

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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Construction Engineer - Entry Level

U.S. Army Reserve

San Francisco, CA 94112

OnsiteUrgently 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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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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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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Applied AI Engineer Intern - Summer 2027 (May/June Start)

GE Aerospace

San Ramon, CA 94583

$20/hr
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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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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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Project Engineer, Electric Transmission Line

PG&E Corporation

Oakland, CA 94612

Hybrid~ 23 min

  • Bachelor's degree in Engineering from an accredited curriculum in the US or the equivalent from outside the US
  • 3 years of cumulative experience in engineering and design
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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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Manufacturing Engineer

Murata Power Solutions

Concord, CA 94520

$90,000/yr
~ 43 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or related field preferred.
  • 3-7 years of Manufacturing Engineering experience in DC/DC converters, AC/DC power supplies, power electronics, or related electronics manufacturing environments, with expertise in tooling design and implementation, process development, production support, and continuous improvement initiatives.
  • Strong understanding of manufacturing process development, industrialization, process validation, and manufacturing readiness for medium to high-volume production.
  • Experience developing assembly processes, production equipment, fixtures, and tooling.
  • Experience supporting New Product Introduction (NPI) and manufacturing transfers.
  • Ability to manage multiple projects and priorities in a fast-paced manufacturing environment.
  • Strong communication and cross-functional collaboration skills.
  • Knowledge of Lean Manufacturing, Six Sigma, PFMEA, DFMEA, Control Plans, APQP, PPAP, SPC, MSA, DOE, and process validation methodologies.
  • Experience with ERP/MRP systems (ARAS, Avante, Factory Logic, or equivalent) for BOM management, Engineering Change Orders (ECO/ECN), and manufacturing planning.
  • Strong understanding of ergonomic workstation design and occupational safety standards (OSHA or equivalent).
  • Experience using structured problem-solving methodologies including 8D, DMAIC, A3, 5 Why, Fishbone, and CAPA.
  • Proficiency with SolidWorks for fixture and tooling design.
  • Experience with robotics, PLC-controlled automation, vision inspection systems, servo systems, and collaborative robots (Cobots) is an asset.
  • Candidates must currently reside within commuting distance of the work location. Relocation assistance is not offered, and applicants must be legally authorized to work in the country without current or future visa sponsorship.
SmartExplore AI is experimental.
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