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Machine Learning Engineer

San Mateo,CA

1491 Machine Learning Engineer jobs in San Mateo,CA

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Annapurna Labs (U.S.) Logo

Annapurna Labs (U.S.) - Cupertino, CA

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
~ 29 min OnsiteHealth InsurancePaid Time OffRetirement Benefit
New, Posted 8 hours ago
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Machine Vision Engineer

Manpower Engineering

San Jose, CA 95134

$80-$90/hr
~ 36 min 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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06 - Machinist 2

Celestica

Fremont, CA 94536

~ 30 min Onsite

Compensation: $63,196 - $104,227
Must possess specific certifications as defined by site operations.
In-depth knowledge and understanding of machine operations.
In-depth knowledge of product quality issues.
In depth knowledge of GDT
In depth knowledge of programs , macros ,cam software
Ability to recognize errors in the g code and make edits prior to machining the work piece.
Ability to set up, operate, calibrate and maintain machines and tools.
Seven to ten years of relevant experience
High school diploma and additional courses after high school, or an equivalent combination of education and experience and a commitment towards further / additional education.
Duties of the position require periodic light physical effort and exertion including prolonged repetitive motions requiring manual dexterity and precise hand/eye co-ordination, sitting and or standing in confined workspaces, using tools and equipment, and moving and handling materials.
Duties require extended periods of sustained visual concentration on detailed documentation and product assemblies.
New, Posted 5 hours ago
Crystal Optics Fabrication Technician

Gooch & Housego Pal Alto

San Mateo, CA 94403

New, Posted 6 hours ago
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Senior ATE Security Engineer, Amazon Leo Silicon Team

Amazon Kuiper Manufacturing Enterprises LLC

San Mateo, CA 94497

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Your Amazon package will include sign-on payments and restricted stock units (RSUs).
USA, CA, San Diego - 185,200.00 - 250,000.00 USD annually
USA, CA, Sunnyvale - 213,000.00 - 287,500.00 USD annually
USA, WA, Redmond - 185,200.00 - 250,000.00 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
Parental leave
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience
7+ years of experience in silicon test, security engineering, or test software development.
Experience with device security and secure provisioning during test, including OTP/eFuse programming.
Working knowledge of the fundamentals of encryption, cryptographic keys, and secure communication channels.
Strong software engineering skills, including proficiency in a language such as Python and/or C/C++, and experience building reusable, well-architected code.
Experience developing test or automation software on Advantest 93K and/or Teradyne UltraFLEX platforms.
International travel required during release-to-production phases.
Master's degree in Electrical/Computer Engineering or Computer Science.
Expertise in standard silicon security concerns for modem and SoC devices, such as secure boot, secure key and identity provisioning, fuse-based lifecycle management, and debug-port lockdown.
Experience implementing cryptographic provisioning flows involving keys, certificates, and device identities in a manufacturing or test environment.
Experience working with anti-tamper and physical security blocks in silicon, such as tamper detection, sensors, and secure-element hardening.
In-depth understanding of OTP/eFuse programming challenges, including margin, read-back verification, repeatability, and managing irreversible operations at high volume.
Strong software development background, with experience building reusable ATE libraries and tooling (pattern search, sub-flow generation, automated test-program generation).
Experience with digital test of complex SoCs, including developing, debugging, and analyzing coverage for scan/ATPG, MBIST, boundary scan (JTAG), and functional tests.
Experience developing and debugging test programs on ATE platforms such as Advantest 93K and Teradyne UltraFLEX.
Experience with high-speed SERDES test and characterization, including equalization test and tuning (CTLE/DFE/FFE), jitter decomposition, and eye/BER analysis.
Experience developing high-volume manufacturing test solutions and driving the full test release process across the New Product Introduction (NPI) lifecycle, from silicon bring-up, characterization, and qualification through production hand-off and ramp.
Familiarity with I/O protocols such as I3C, SPI, and GPIO.
Experience testing complex modem and SoC devices in advanced process nodes.
New, Posted 1 day ago
Easy Apply
Retail Supervisor - Paid Time Off & Merchandise Discount

Abercrombie & Fitch

Santa Clara, CA 95050

$27.50/hr
~ 31 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

The starting rate for this position is $27.50 per hour. (i.e., the recruiting pay range for this position is $27.50-$27.50 per hour).
Quarterly Incentive Bonus Program
Paid Time Off
Paid Volunteer Day per Year, allowing you to give back to your community
Merchandise Discount
Medical, Dental and Vision Insurance Available
Life and Disability Insurance
Associate Assistance Program
Paid Parental and Adoption Leave
401(K) Savings Plan with Company Match
Training and Development
Opportunities for Career Advancement, we believe in promoting from within
Bachelor's degree OR one year of supervisory experience in a customer-facing role.
Knowledge of current fashion trends.
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Principal / Sr. Principal Engineer Manufacturing

Northrop Grumman

Sunnyvale, CA 94087

Paid Relocation to Sunnyvale, CA

~ 27 min OnsiteHealth InsurancePaid Time Off

Primary Level Salary Range: $103,600.00 - $155,400.00
Secondary 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 with a minimum of 5 years of relevant work experience; OR a Master's Degree with 3 or more years of experience.
Experience with fabrication processes (welding, thermal/fusion cutting, heat treatment, plate forming or quality inspections).
Experience reading and interpreting engineering drawings.
Experience in technical writing and presentations.
U.S. citizenship is required.
Bachelor's degree with a minimum of 8 years of relevant work experience; OR a Master's Degree with 6 or more years of experience.
Bachelor's degree in Manufacturing Engineering or similar.
Experience with welding symbols, codes, and standards particularly Mil. Standards and Tech Pub.
Experience with robotic welding.
Experience with additive manufacturing (3D printing).
Experience with GD&T; inspections.
New, Posted 11 hours ago
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LinkedIn
Scientific Machine Learning Engineer (UQ)

Dridam Flight

San Mateo, CA

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Manufacturing Engineer

Rheinmetall

Brisbane, CA 94005

~ 19 min OnsiteFlexible Schedule

Access to exclusive employee discounts with over 500 retailers to support cost of living;
Market leading parental leave and loyalty leave accrual for every year of service;
Long weekends every second week with a 9 day fortnight;
Individualised Flexible Working Arrangements;
Previous experience in a Manufacturing Engineer role;
Degree qualified in Mechanical or Manufacturing Engineering;
Proficient in all aspects of mechanical engineering design for plant and machinery related to Heavy Vehicle Production;
Experiencing managing the specification and operation of manufacturing facilities, tools, plant and equipment of the requirements of AS4024 Safety of Machinery;
Eligibility to obtain an Australian Government Security Clearance (Australian Citizenship required).
Recommended
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Staff Machine Learning Engineer – AI/ML Compiler

Qualcomm

Santa Clara, CA 95053

~ 31 min Onsite

$174,000.00 - $261,000.00
We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).
Our highly competitive benefits package is designed to support your success at work, at home, and at play.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
3+ years of industry experience in ML infrastructure, compiler engineering, or AI framework development
Proficient in Python and C++
Solid understanding of ML compiler concepts (graph IRs, operator fusion, shape inference, lowering passes, backend partitioning) and hands-on experience with one or more compiler stacks such as MLIR, ONNX, or TVM
Experience with PyTorch model export (torch.export, torch.compile, FX, ATen IR) and on-device deployment frameworks such as LiteRT, ExecuTorch, or ONNXRuntime
Familiarity with SoC-level constraints (memory bandwidth, compute precision, NPU/DSP execution) and hardware-specific runtimes such as QAIRT/QNN is a plus
Experience building automated CI/CD pipelines for model compilation and validation at scale
Proficiency with git and software engineering best practices
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