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Java Developer

San Jose,CA

1854 Java Developer jobs in San Jose,CA

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Paid Relocation to San Jose, CA

Education AssistanceHealth InsurancePaid Time Off
New, Posted 3 hours ago
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Software Development Engineer, AWS Neuron, Annapurna Labs

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).
165,200.00 - 223,600.00 USD annually
Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.
Amazon also offers comprehensive benefits including 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.
Experience in object-oriented languages like C++/Java is a must
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required.
Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus!
Master's degree or PhD in Computer Science, or a related technical field.
3+ years of experience writing production grade code in object-oriented languages such as C++/Java.
Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators.
Experience with OpenSource compiler toolset like LLVM/MLIR.
Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms.
Experience with modern build systems like Bazel/CMake.
New, Posted 1 day ago
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Retail Assistant Manager - Training & Development

Abercrombie & Fitch

Santa Clara, CA 95050

$27.50/hr
~ 14 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.
New, Posted 21 hours ago
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Sr. Software Engineer, MarTech (Remote)

CrowdStrike

Sunnyvale, CA 94086

$125,000-$180,000/yr
Remote
New, Posted 1 day ago
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Senior System Software Manager

Everpure

Santa Clara, CA 95050

~ 14 min Onsite

Incentive pay and/or equity
$217,000—$326,000 USD
Flexible time off
Wellness resources
Company-sponsored team events
Demonstrated track record of leading, coaching, and growing software engineering teams while remaining engaged in system architecture and technical decision-making.
Deep technical foundation in Linux kernel development or low-level storage and networking protocol development (such as NVMe, NFS, iSCSI, Fibre Channel, or SCSI) on x86 architectures.
Hands-on mastery of full software development lifecycle management, agile methodologies, and continuous integration strategies to deliver complex enterprise-grade software predictably.
Proficiency in C/C++ development and automation scripting, with a strong ability to drive technical problem-solving in complex, multi-threaded systems.
We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
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Manager, AV Planner Evaluation

General Motors

Sunnyvale, CA 94087

Paid Relocation to Sunnyvale, CA

Remote

The salary range for this role is ($218,800 - $335,300).
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
This Job may be eligible for relocation benefits.
Bachelor's, Master's, or PhD in Computer Science, Robotics, Engineering, Machine Learning, Data Science, or related
5+ years of experience in engineering analysis, ML evaluation, or autonomy analytics
3+ years of experience evaluating dynamic systems using numerical and/or ML approaches, including time-series data and state derivatives
3+ years of experience building and managing high-performing engineering teams
Strong proficiency developing Python in production team environments, including testing, performance, and code review
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms
Strong hands-on familiarity with data visualization libraries for large-scale analysis and reporting
Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
Solid understanding of vehicle dynamics
Expertise in Planning and Controls system design
Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation.
Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring.
Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms.
Prior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control.
Background contributing to release gating, risk assessment, and safety-related decisions for autonomy systems.
Experience using AI-assisted development and analytics tools to improve engineering productivity and evaluation coverage.
A background in robotics or the AV/ADAS industry
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Capacity Planner

Onsemi

San Jose, CA 95134

Onsite

Bachelor's degree in Supply Chain Management, Engineering, Operations, Business, or related field.
10+ years of experience in supply chain, capacity planning, or semiconductor manufacturing.
Experience working with semiconductor OSATs with knowledge of manufacturing process, cycle time, supply chain, etc.
Proficiency in Excel and data analysis tools especially with AI.
Technical background can be a plus
New, Posted 1 day ago
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Executive Store Director - House of Sport

House of Sport

San Jose, CA 95123

Onsite

Targeted Pay Range: $127,000.00 - $237,800.00.
Incentive, equity
We also offer a generous suite of benefits.
DICK'S Sporting Goods complies with all state paid leave requirements.
Bachelor's Degree in Business, Management, Communications, Marketing, or related
7-10 years experience in Store Operations, Community Marketing or Project Management
Microsoft Office
Project Management Knowledge
Offers are contingent upon a satisfactory background check which may include ID verification
New, Posted 4 hours ago
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Senior Software Engineer, Java/Scala Platform Remote with Preference

Safience

San Jose, CA

Remote
New, Posted 3 hours ago
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LinkedIn
Full Stack Developer (Java & React), Risk and Compliance AI Platform

Eliassen Group

San Jose, CA

$75-$80/hr

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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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