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System Engineer

San Jose,CA

2502 System Engineer jobs in San Jose,CA

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Sr. Principal Systems Engineer Level 4

Northrop Grumman

Sunnyvale, CA 94087

Paid Relocation to Sunnyvale, CA

Health InsurancePaid Time Off

Primary Level Salary Range: $129,300.00 - $193,900.00
Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Employees in Vice President or Director positions may be eligible for Long Term Incentives.
Relocation assistance may be available
Health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
Bachelor's Degree in a STEM (Science, Technology, Engineering or Math) discipline with 8 years relevant experience; or Master's Degree in a STEM (Science, Technology, Engineering or Math) discipline with 6 years relevant work experience, or PhD with 4 years of experience.
Must be a US citizen
Must be able to obtain and maintain a US Government Secret Clearance
Master's Degree in Systems Engineering
Understanding and knowledge of Agile (SCRUM) techniques and activities
First hand experience with MBSE concepts and tools (MagicDraw and / or Cameo preferred)
Experience in technical presentation and interfacing with customers
Design and operational knowledge of navy programs
Ability to read and interpret government or military specifications
Must be able to obtain and maintain an Active US Government Secret Clearance
Recommended
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Systems Safety Engineer

Anduril Industries

Mountain View, CA 94040

~ 21 min OnsiteHealth Insurance

$160,000-$211,000 USD
Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.
Anduril offers top-tier benefits for full-time employees
Minimum of 5 years of industry experience as a System Safety Engineer or equivalent engineering background
B.S. degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware and software systems in the defense or aerospace industry
Familiarity with MIL-STD-882E and other relevant safety standards
Strong background in safety analysis techniques including FTA, FHA, SCFTA, and FMECA
Experience with requirements decomposition for Safety
Failure investigation/analysis experience with a proven track record of solving problems and preventing reoccurrence
Design Review experience (PDR, CDR, MRR)
Eligibility to obtain and maintain a U.S. security clearance
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process.
M.S. degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience or familiarity with ARP-4754, ARP-4761, MIL-STD-516C, and JSSSEH
Experience with Relyence, Teamcenter, JIRA, JAMA, Cameo, and/or Ansys
Software safety case development experience
Experience with risk management, change control/change management reviews, and software/firmware HITL/SITL
AI/ML software safety experience
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Manufacturing Engineering (Opto-Mech), Intern

Keysight Technologies

Santa Clara, CA 95051

Paid Relocation to Santa Clara, CA

~ 14 min OnsiteUrgently Hiring

CA pay range: Min $37.74 to Max $40.64
Relocation is available for this role.
Pursuing a Bachelor's or Master's degree in Mechanical Engineering, Manufacturing Engineering, Optical Engineering, Physics, Mechatronics, or a related technical field.
Basic understanding of engineering principles, mechanical design, and manufacturing processes.
Experience with CAD software
SolidWorks or similar acceptable
Comfortable working in a laboratory, manufacturing, or production environment.
Ability to collect, analyze, and present data using Microsoft Excel or similar tools.
Siemens NX preferred
Coursework or laboratory experience involving optics, precision mechanics, photonics, instrumentation, or manufacturing.
Familiarity with optical components such as lenses, mirrors, beam splitters, polarizers, or laser systems.
Exposure to optical alignment techniques, metrology equipment, or interferometry concepts.
Experience with engineering documentation, technical reports, or work instructions.
Familiarity with statistical analysis, process improvement methods, or root cause analysis techniques.
Experience programming or automating data analysis using Python, MATLAB, LabVIEW, or similar tools.
Interest in manufacturing, test engineering, and precision optical instrumentation.
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Manufacturing Engineering Manager

Becton, Dickinson and Company

Milpitas, CA 95035

~ 17 min Onsite

$137,500.00 - $220,100.00 USD Annual
Bachelor's degree in Engineering or a related technical discipline.
7+ years of progressive manufacturing engineering experience in a manufacturing environment.
3+ years of people management experience leading engineers, technicians, or technical personnel.
Strong experience supporting electro-mechanical instrumentation, complex manufacturing systems, or regulated manufacturing operations.
Demonstrated experience improving manufacturing processes, equipment, tooling, fixtures, assembly operations, test processes, and production support systems.
Experience leading capital equipment projects from business case development through implementation, qualification, and operational handoff.
Demonstrated ability to lead root cause investigations using structured problem-solving tools including 8D, DMAIC, 5 Why, Fishbone Analysis, and A3 methodologies.
Strong understanding of process validation, PFMEA, control plans, risk management, and equipment qualification methodologies.
Experience with ERP systems, MES systems, and manufacturing data analytics.
Master's degree, MBA, or advanced technical degree.
PMP, Lean Six Sigma Green Belt, or Lean Six Sigma Black Belt certification.
Hands-on experience implementing manufacturing automation, robotics, machine vision, semi-automated assembly systems, or Industry 4.0 technologies.
Experience working with SAP ECC 6 and/or S4/HANA
Proficiency in SolidWorks
New, Posted 20 hours ago
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Software Development Engineer, AI/ML, AWS Neuron, Model Inference

Annapurna Labs (U.S.)

Cupertino, CA 95014

~ 17 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

Your Amazon package will include sign-on payments and restricted stock units (RSUs).
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
An environment that celebrates knowledge-sharing and mentorship.
Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.
Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have.
Bachelor's degree in computer science or equivalent
3+ years of non-internship professional software development experience
3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.
Software development experience in C++, Python (experience in at least one language is required).
Strong understanding of system performance, memory management, and parallel computing principles.
Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.
Familiarity with PyTorch, JIT compilation, and AOT tracing.
Familiarity with CUDA kernels or equivalent ML or low-level kernels
Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.
Familiar with syntax and tile-level semantics similar to Triton.
Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.
Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.
Recommended
Distinguished Engineer, AI Security Systems (Remote)

CrowdStrike

Sunnyvale, CA 94086

$235,000-$350,000/yr
Remote
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Senior Mechanical Engineer (Manufacturing Engineering)

Velo3D

Fremont, CA 94536

$145,000-$170,000/yr
~ 27 min OnsiteHealth InsuranceRetirement Benefit

$145,000 - $170,000 a year
Participation in a bonus and equity program
Healthcare coverage and 401(K) employer contributions
Team member appreciation awards
Full-time
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 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.
Willing and able to work "Hands-on" to build, integrate and test newly developed systems and/or subsystems
Solidworks prefered
Metal additive manufacturing experience a plus but not required
Experience with risk analysis methods such as FMEA
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Manufacturing Engineer

Teledyne

Newark, CA 94560

~ 28 min Onsite

$120,300.00-$160,400.000
B.S. in Electrical Engineering (or equivalent)
5+ years in manufacturing/test engineering or production support for high-power electronics and/or RF systems
Experience with RF and electronic test equipment
Ability to interpret schematics, drawings, and technical documentation
Applicants must be a U.S. citizen
Experience with new product transfer to manufacturing
RF amplifiers, pulsed power, or high-voltage systems experience
Familiarity with automated test systems (ATE, LabVIEW, etc.)
Familiarity with encapsulated / potted electronics
Experience in regulated environments (ISO 9001, AS9100)
Lean / Six Sigma or formal root cause methodology experience
New, Posted 8 hours ago
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Hardware Engineering Manager

Everpure

Santa Clara, CA 95050

~ 14 min OnsiteUrgently Hiring

$217,000—$359,000 USD
This role may be eligible for incentive pay and/or equity.
Flexible time off
Wellness resources
Company-sponsored team events
A Degree in Electrical or Computer Engineering, with either: * Masters with 5+ years of professional work experience. * Bachelors with 7+ years of professional work experience
3+ years as a Hardware Engineering Manager
Demonstrated experience managing, mentoring, or leading hardware engineering teams.
Strong background in hardware design, x86 architectures, networking, high-speed interfaces, and system-level integration.
Experience architecting or supporting complex systems involving compute, storage, networking, and I/O.
Strong understanding of signal integrity, power integrity, thermal performance, and electrical validation.
Experience qualifying CPUs, DDR memory, NICs, SSDs, power supplies, voltage-regulator circuits, and other system components.
Experience defining and automating hardware qualification processes.
Experience working with diagnostics engineers and providing technical direction on test coverage and validation strategy.
Experience in hyperscale, enterprise hardware, storage, server, or networking environments preferred.

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Machine Vision Engineer

Manpower Engineering

San Jose, CA 95134

$80-$90/hr
Onsite

$80-$90/hr
Comprehensive benefits
M-F
Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, or a related technical discipline.
Minimum 5 years of hands-on experience developing machine vision applications within industrial manufacturing environments.
Expert-level experience programming Keyence XG-X Vision Systems and developing applications using Cognex VisionPro and Cognex In-Sight Explorer.
Strong understanding of machine vision fundamentals, including optics, cameras, image processing, field of view, depth of field, lighting techniques, and metrology.
Experience integrating machine vision systems with industrial PLC platforms such as Allen-Bradley/Rockwell, Siemens, or Beckhoff, utilizing industrial communication protocols including EtherNet/IP and TCP/IP.
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