San Jose, CA

Engineer Jobs in San Jose, CA

44 jobs found

Include remote jobs

Today

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

Capital One San Jose, CA

San Jose, CA

Today

$215k - $246k/yr Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

Build foundational AI systems that power real-world experiences for associates and customers. Capital One is hiring an AI Engineer 4 on the Intelligent Foundations and Experiences (IFX) team to design, deploy, and improve production AI capabilities including LLM inference and agentic AI. The role emphasizes end-to-end architecture, reliability, and optimization across scalability, cost, latency, and throughput.

What you’ll do

Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Apply and integrate a broad stack of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
Introduce state-of-the-art foundation model optimization techniques to improve production performance, including scalability, cost, latency, and throughput.
Contribute to technical vision and the long-term roadmap for foundational AI systems across Capital One.
Own end-to-end architecture for complex AI systems with an emphasis on maintainability, observability, and ethical alignment.
Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
Lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance standards are met.
Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation.

Qualifications

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years developing AI/ML algorithms or technologies, or a Master’s degree plus at least 2 years developing AI/ML algorithms or technologies.
At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.

Preferred experience

Experience leading development of AI systems with tradeoffs across cost, latency, throughput, and accuracy.
6 years deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
Experience designing, developing, delivering, and supporting AI services.
Experience building AI/ML algorithms and services (for example: LLM inference, similarity search and vector databases, guardrails, memory) using Python, C++, C#, Java, CUDA, or Golang.
Experience optimizing training and inference software for improved hardware utilization, latency, throughput, and cost.
Experience developing agentic AI systems and agentic workflows.
Ability to apply new AI research and systems judiciously in production.
Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules.
Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

Tools and technologies you may work with

AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
Python, Go, Scala, CUDA, Java
AWS, Google Cloud, Azure
C++, C#, Golang

Location and compensation

San Jose, CA (onsite) | USD 215,200 - 245,600 per year. Performance-based incentive compensation may be available, including cash bonus(es) and/or long term incentives (LTI).

Capital One also offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

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Today

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

Capital One San Jose, CA

San Jose, CA

Today

$215k - $246k/yr Full time Agentic Ai Orchestration Ai Engineer Artificial Intelligence

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Job Description

Capital One is hiring an AI Engineer 4 on the Intelligent Foundations and Experiences (IFX) team to build and deploy responsible, scalable AI systems and platform services. This onsite role in San Jose focuses on foundation model training, LLM inference, agentic workflows, evaluation and governance, observability, and optimization for performance and cost.

Responsibilities

Work with cross-functional partners including engineers, research scientists, technical program managers, and product managers to deliver AI-powered products for associates and customers.
Design, develop, test, deploy, and support AI software components such as foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Use a stack of Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and additional tools.
Develop and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput for production AI systems.
Help shape the technical vision and long-term roadmap for foundational AI systems at Capital One.
Own end-to-end architecture for complex AI systems, with focus on maintainability, observability, and ethical alignment.
Define and maintain service-level objectives (SLOs) for AI reliability across latency, uptime, and model performance drift.
Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.
Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are addressed.
Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation.

Requirements

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI and ML algorithms or technologies, or
Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 2 years of experience developing AI and ML algorithms or technologies.
At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.

Technologies

AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
AWS, Google Cloud, Azure
Python, Go, Scala, CUDA, Java, C++, C#, C# (listed as provided), Golang
GPU, TPU

Benefits

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Comprehensive, competitive, and inclusive set of health, financial and other benefits.

Preferred Qualifications

Experience leading development AI systems with tradeoff decisions across cost, latency, throughput, and accuracy.
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, delivering, and supporting AI services.
Experience developing AI and ML algorithms or technologies such as LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory using Python, C++, C#, Java, CUDA, or Golang.
Experience developing and applying state-of-the-art optimization techniques for training and inference software to improve hardware utilization, latency, throughput, and cost.
Experience building agentic AI systems and agentic workflows.
Passion for staying abreast of the latest AI research and systems, and applying novel techniques in production.
Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale.
Experience defining AI model governance processes including producibility, lineage tracking, and automated retention schedules.
Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

Team Description

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing Capital One’s AI vision to life.
The team partners across the company to advance the state of the art in science and AI engineering, building and deploying proprietary solutions central to the business.
AI models and platforms empower teams across Capital One to enhance products with responsible and scalable AI for high-leverage impact.

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

Capital One San Jose, CA

San Jose, CA

Today

$251k - $286k/yr Full time Agentic Ai Artificial Intelligence Generative AI

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Job Description

Capital One is hiring an AI Engineer 5 to build and support AI-powered products and foundational AI systems in an onsite role in San Jose, CA.

Responsibilities

Collaborate with cross-functional partners including engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
Apply Open Source and SaaS AI tooling such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch
Develop and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models
Establish and lead cost-performance governance reviews across AI systems, including GPU utilization, model throughput, and inference cost efficiency
Lead team design councils or design review boards to support technical consistency and compliance with AI engineering standards
Mentor Principal and Manager-level AI engineers to support cross-domain learning and raise organizational technical maturity

Requirements

Education + experience: Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 6 years experience developing AI/ML algorithms or technologies; or Master’s degree plus at least 4 years experience
Programming: at least 6 years programming with Python, Go, Scala, CUDA, or Java

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch
AWS, Google Cloud, Azure
Python, Go, Scala, CUDA, Java, C++, C#, Golang
LLMs, vector search, GPU utilization
Rule-based, retrieval-augmented, generative components

Benefits

Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being
Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Team

Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life
Works with partners across the company to advance state-of-the-art science and AI engineering
Builds and deploys proprietary solutions central to the business, delivering value to millions of customers
Enables teams across Capital One to enhance products with responsible, scalable AI

Ideal Candidate

Enjoys building systems, taking pride in quality work, and doing the right thing
Interested in problems that help change banking for good
Stays current with AI research, can interpret scientific publications, and applies novel techniques in production
Thrives on bringing clarity to big, undefined problems
Asks questions, digs to find root causes, and communicates findings clearly
Shares new ideas even when they are unproven
Deeply technical with strong engineering and mathematics foundations
Understands optimization opportunities across hardware, software, and AI
Resilient trailblazer able to forge new paths toward business goals when the route is unknown

Preferred Qualifications

Experience leading development AI systems with tradeoff decisions across cost, latency, throughput, and accuracy
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting complex AI systems
Experience developing AI/ML algorithms such as LLM inference, similarity search and VectorDBs, guardrails, and memory using Python, C++, C#, Java, CUDA, or Golang
Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
Experience building agentic AI systems and agentic workflows
Experience architecting and integrating heterogeneous AI systems including rule-based, retrieval-augmented, and generative components into unified production pipelines
Experience defining and enforcing ethical AI deployment standards (explainability, fairness, and human-in-the-loop review processes)
Ability to balance model performance and operational cost using dynamic inference and model compression
Experience right-sizing models, instance counts, and hardware types based on requirements such as context length and token inputs/outputs

Salary and Location

Location: San Jose, CA (onsite)
Salary: USD 250,800 - 286,200 per year

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1d ago

Senior Machine Learning Engineer

Adobe San Jose, CA

San Jose, CA

1d ago

$152k - $265k/yr Full time AI Application Security Artificial Intelligence

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Job Description

As part of Adobe’s Search, Discovery & Content AI (SDC) team, you will help design and deliver large-scale machine learning systems that support generative AI and content understanding and discovery used by millions of people. This is a hands-on role spanning end-to-end system design through deployment and ongoing optimization, with opportunities to build GPU-optimized modeling and ML pipeline platform capabilities, while working closely with architects, product, and engineering teams.

What you’ll do

Define and develop end-to-end machine learning systems using innovative architectures
Develop and implement scalable, GPU-optimized modeling algorithms that can operate on large-scale data in production environments
Build and maintain high-performance, scalable, maintainable platform features across the complete ML pipeline
Partner with architects, product management, and engineering teams to translate product requirements into technical solutions
Design and develop runtimes and libraries for emerging ML technologies to help keep the team at the forefront of the field
Contribute to creation of detailed requirements and design documents for features across the technology stack

What you bring

PhD or master’s degree in computer engineering, Computer Science, Computer Vision, Robotics, or a related field (or equivalent experience)
Deep understanding of generative AI, deep learning, computer vision, and recommendation systems, with a track record applying these methods to complex problems
Proficiency with ML frameworks and tools such as Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning
Expertise with cloud technologies, Docker, and containerization
Experience with AWS, Microsoft Azure, or equivalent cloud platforms
Proficiency in one or more programming languages including Python, C++, Java, and Rust
Exceptional analytical and quantitative problem-solving skills
Excellent communication and relationship-building skills
Demonstrated ability to thrive in a collaborative team environment

Tools and technologies

Scikit-learn, Hugging Face, PyTorch, PyTorch Lightning
Docker, AWS, Microsoft Azure
Python, C++, Java, Rust

Interview AI use notice

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

Pay range

U.S.: $151,800 - $265,350 annually.

California: $183,300 - $265,350 annually.

Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-specific notices

California: Fair Chance Ordinances. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado: Application Window Notice. If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If Colorado is not listed, no specific application window applies and the posting may close based on hiring needs.
Massachusetts: Massachusetts Legal Notice. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

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1d ago

Associate Engineer (Fire Protection)

San Jose Police Department San Jose, CA

San Jose, CA

1d ago

$136k - $172k/yr Full time Engineering Field Engineering Fire Protection

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Job Description

The San Jose Police Department’s San José Fire Department is hiring two Associate Engineer positions for the Bureau of Fire Prevention. In this onsite role in San Jose, CA, you will perform professional engineering, plan review, and inspection work focused on fire safety and code compliance under the general supervision of a Senior Engineer.

Associate Engineers in the Bureau of Fire Prevention carry out technical reviews and field verification activities to help ensure buildings meet applicable life safety and fire protection requirements, including California codes and recognized fire protection standards.

Role overview

Perform professional engineering, plan review, and inspection duties under general supervision of a Senior Engineer.
Work is focused in one or more Bureau of Fire Prevention areas, including Building Life Safety Systems, Fire Sprinkler/Suppression Systems, Fire Alarm Systems, and Site Development.
This recruitment may be used to fill multiple positions in this or other divisions or departments.

Responsibilities

Examine plans, perform calculations, and review specifications for commercial, industrial, and residential buildings for compliance with the California Building Code, California Fire Code, California State Fire Marshal regulations, applicable NFPA standards, and local ordinances.
Provide technical advice to consultants, architects, engineers, contractors, developers, department officers and staff, the Fire Marshal, and others regarding the application or interpretation of fire safety codes and regulations, including resolution of fire safety issues identified during preliminary design.
Analyze and evaluate proposals for alternate materials and methods of construction and/or variances to fire safety codes and regulations.
Conduct field inspections to verify finished construction complies with approved plans.

Requirements

A bachelor’s degree from an accredited college or university in the required professional engineering discipline (for example, Fire Protection, Mechanical, Electrical, Civil) or possession of an Engineer-in-Training (EIT) certificate.
Three (3) years of increasingly responsible professional engineering experience.
A master’s degree in the required professional engineering discipline may substitute for one (1) year of professional engineering experience.
Possession of a valid State of California driver’s license is required.
Complete and file an “Assuming Office Form 700” with the City Clerk’s Office within the first 30 days of employment.
Answer all job-specific questions; failure to do so may result in an incomplete application and withholding from further consideration.

Salary and additional details

Salary range for this classification: $135,975.84 - $172,099.20 (USD), with an approximate 5% ongoing non-pensionable pay included in the range.
Federal law requires all employees to provide verification of eligibility to work in the United States.
The City of San Jose will not sponsor, represent, or sign documents related to H1-B or other employer application visa types requiring employer applications.

Other qualifications

Knowledge of codes and standards relevant to building life safety and fire protection.
Experience examining building plans for compliance with building fire safety and fire protection requirements.
Experience in the design, evaluation, and inspection/testing of fire/life safety systems, including passive fire protection, emergency evacuation systems, fire sprinkler/suppression systems, and fire alarm systems.
Possession of certifications and/or licenses related to the field of fire protection.
Ability to convey information clearly and effectively, both orally and in writing, with effective listening skills and openness to others’ ideas.
Ability to use logical, systematic, sequential approaches to problem-solving.
Demonstrated ability to anticipate customer needs and deliver services effectively with professional demeanor.
Ability to identify issues and opportunities, use effective approaches for choosing a course of action or developing solutions, and align unit goals with organizational direction.
Ability to define problems, determine significance, collect information, and use logic to arrive at decisions or solutions.
Ability to build effective relationships through collaboration and conflict resolution.

Selection process and application notes

Selection will be based on evaluation of training and experience from the application and responses to all job-specific questions.
Additional phases may include one or more interviews.
The recruitment is open until filled, and applications received on or before September 11, 2026 will be given first consideration.
Applicants are expected to write their own essays/responses; use of AI content in responses may result in removal from the hiring process.
Applications are not accepted through CalOpps or other third-party job board systems.
If the online application is successfully submitted, an automatic confirmation email is sent; if no confirmation is received, email CityCareers@sanjoseca.gov for status research.
Application responses and interview answers must reflect the applicant’s own knowledge, skills, and experiences.

If you have questions about duties, selection, or hiring process, contact Denisse Madriz at denisse.madriz@sanjoseca.gov.

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2d ago

Senior Machine Learning Engineer, Developer AI

ByteDance San Jose, CA

San Jose, CA

2d ago

$218k - $480k/yr Full time Python Agentic Ai Ai Agent

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Job Description

Context: ByteDance’s Dev Infra team is building Dev AI systems to improve software engineering productivity at scale, and this Senior Machine Learning Engineer role supports that mission.

Responsibilities

Develop and enhance machine learning and large language model systems for software engineering tasks, including code generation, unit test generation, and debugging.
Build AI-powered developer agents and intelligent workflows that reason over large codebases and use development environments and tools to execute multi-step engineering tasks.
Support engineers across the software development lifecycle with agentic assistance and tool interaction.
Improve model and agent performance using prompt engineering, context engineering, retrieval, fine-tuning, reinforcement learning, tool-use design, and agent harness engineering.
Create high-quality training and evaluation data pipelines for software engineering use cases, including data collection, filtering, synthesis, labeling, and hard-example mining.
Apply advances in large language models, code intelligence, program analysis, reinforcement learning, and autonomous software engineering to real-world developer productivity problems at scale.

Requirements

Bachelor’s degree or above in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
5+ years of relevant industry or research experience in machine learning, large language models, code intelligence, AI-powered developer tools, or related areas.
Strong programming skills in one or more of: Python, Go, Java, C++, JavaScript, TypeScript.
Solid understanding of data structures, algorithms, machine learning, operating systems, databases, and fundamental system design principles.
Experience owning complex ML projects end-to-end, from problem formulation and data construction through model development, evaluation, deployment, and production iteration.
Strong system design and engineering skills, including building scalable, reliable, and efficient machine learning systems or AI-powered applications.
Strong communication and collaboration skills, including ability to drive complex technical projects across teams.

Technologies

Python
Go
Java
C++
JavaScript
TypeScript

Preferred Qualifications

Experience building or leading AI systems for software engineering, including code generation, coding agents, unit test generation, debugging, or code review.
Deep experience with large language models and one or more post-training/model improvement techniques such as supervised fine-tuning, reinforcement learning, preference optimization, prompt engineering, context engineering, retrieval, or model evaluation.
Experience designing and improving agentic systems, including tool-using LLMs, coding agents, agent harnesses, MCP, agent skills, planning, memory, or multi-step execution workflows.
Experience building large-scale training data, evaluation datasets, benchmarks, or experimentation pipelines for machine learning or code intelligence systems.
Strong understanding of software engineering and code intelligence techniques such as program analysis, compilers, static analysis, code search, repository indexing, testing, and debugging.
Publications, patents, open-source contributions, or demonstrated technical leadership in machine learning, large language models, code intelligence, developer tools, or AI for software engineering.

Compensation

Base salary range: USD 218,400 - 480,000 per year (city-specific, selected city).
Compensation description: base salary range for the selected city is $218400 - $480000 annually.

Benefits

Day one access to medical, dental, and vision insurance.
401(k) savings plan with company match.
Paid parental leave.
Short-term and long-term disability coverage.
Life insurance.
Wellbeing benefits.
10 paid holidays per year.
10 paid sick days per year.
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
Additional discretionary bonuses/incentives and restricted stock units (role may be eligible).

Location

San Jose, CA (onsite)

Fair Chance Ordinance (Los Angeles County, Unincorporated)

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Company believes criminal history may have a direct, adverse, and negative relationship on job duties, potentially resulting in withdrawal of a conditional offer.
Examples of job duties include: interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; handling and managing confidential information including proprietary and trade secret information and access to IT systems; exercising sound judgment.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.
For assistance or a reasonable accommodation, contact: https://tinyurl.com/RA-request

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20d ago

Data Engineer 1

Adobe San Jose, CA

San Jose, CA

20d ago

$55 - $69/hr Contract Big Data Data Analysis Data Engineer

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Job Description

Join a contract Data Engineering role in San Jose focused on scalable pipelines and data workflows that support growth monetization and product and marketing outcomes.

Responsibilities

Design, build, optimize, and maintain scalable data pipelines for growth monetization initiatives
Write and optimize complex SQL queries to analyze A/B experiment results
Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets
Optimize pipeline performance, reliability, scalability, and data quality across distributed systems
Apply Big Data technologies and best practices to efficiently process high-volume datasets
Create automated monitoring, alerting, and validation frameworks to protect pipeline health and data integrity
Partner with Data Science, Product, Marketing, and Engineering teams to deliver actionable insights and scalable data solutions

Requirements

Strong SQL skills, including writing and optimizing complex queries on large datasets
Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks
Experience building and optimizing scalable data pipelines in cloud and enterprise environments
Proficiency with ETL orchestration and workflow management tools
Experience with data quality, pipeline monitoring, and performance tuning
Ability to collaborate with technical and non-technical stakeholders in a fast-paced environment
Minimum 5 years of experience required

Technologies

SQL
A/B experiment results
ETL
ELT
Hadoop
Hive
Spark
Distributed processing frameworks
Distributed systems

Benefits

Health, vision and dental benefits for contract employees
Paid sick leave eligibility is contingent on state of residence
Optional 401k Plan (excludes employer match)
401(k)
Dental insurance
Health insurance
Vision insurance
Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment

Benefits You’ll Love (NextDeavor)

NextDeavor offers health, vision and dental benefits for contract employees
Paid sick leave eligibility is contingent on state of residence
Optional 401k Plan (excludes employer match)
Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment