Automation Engineer Jobs in San Jose, CA
Automation Engineer jobs in San Jose, California concentrate in North San Jose, the Alviso industrial corridor, and the downtown tech core, with strong demand across semiconductor manufacturing, medical devices, and industrial robotics. Employers hiring right now include ByteDance, TikTok, and Astera Labs. See the openings below and apply to the ones that match your experience.
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Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE:
As an AMD-AECG Design Automation Engineer, you will help build the next generation of AI-powered engineering platforms that enable AMD's chip design teams to find, understand, and interact with complex semiconductor design data. You will develop scalable software systems, data pipelines, knowledge graphs, and AI/LLM-driven capabilities that transform how architects, designers, and verification engineers access and leverage engineering knowledge. Working at the intersection of AI, software infrastructure, and semiconductor design, you will help expand the platform to support new engineering domains, workflows, and agent-based experiences that accelerate chip development.
THE PERSON:
The ideal candidate is a strong software engineer with experience building production-quality backend systems and a passion for applying AI to solve complex technical problems. You are comfortable designing data models, building large-scale data pipelines, and developing AI/LLM-based solutions such as retrieval systems, knowledge graphs, and agentic workflows. You thrive in highly technical and ambiguous environments, can collaborate effectively with both software and hardware engineers, and are motivated by the opportunity to build tools that directly impact the design of next-generation CPUs, GPUs, and AI accelerators.
KEY RESPONSIBILITIES:
- Design, build, and maintain backend data pipelines that turn engineering data sources into structured, quarriable representations
- Design and evolve data schemas and queries to support new engineering data types and use cases at production scale
- Build and extend AI/LLM-based components that let engineers query and interact with engineering data using natural language
- Diagnose and fix reliability and performance issues in distributed batch-processing pipelines handling large volumes of data
- Design and implement new data pipelines to bring additional engineering data domains onto the platform
- Tune LLM-based components for accuracy, cost, and latency
- Own a TDD-driven development workflow using the team's version control and code review practices
- Collaborate with architecture, verification, and design teams to translate their data and workflow needs into platform capabilities
PREFERRED EXPERIENCE:
- Strong Python engineering background, with rigorous testing discipline (unit/integration/end-to-end) in a large, shared codebase
- Experience with graph databases and/or vector search systems, including schema design and query performance for retrieval workloads
- Experience with LLM-based/agentic systems: retrieval-augmented generation, agent orchestration frameworks, tool-use/function-calling, and awareness of LLM cost/latency/token tradeoffs
- Familiarity with RTL/HDL/Physical Design semantics (SystemVerilog/Verilog/SW/HW modeling, module hierarchy, instantiation, parameters) and toolchains for parsing/elaborating hardware design source
- Experience with time-series/relational data stores and reasoning about consistency across multiple database backends
- Strong written and verbal communication skills
ACADEMIC CREDENTIALS: Bachelors/Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
This role is not eligible for visa sponsorship.
#LI-DR2
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
THE ROLE:
As an AMD-AECG Design Automation Engineer, you will help build the next generation of AI-powered engineering platforms that enable AMD's chip design teams to find, understand, and interact with complex semiconductor design data. You will develop scalable software systems, data pipelines, knowledge graphs, and AI/LLM-driven capabilities that transform how architects, designers, and verification engineers access and leverage engineering knowledge. Working at the intersection of AI, software infrastructure, and semiconductor design, you will help expand the platform to support new engineering domains, workflows, and agent-based experiences that accelerate chip development.
THE PERSON:
The ideal candidate is a strong software engineer with experience building production-quality backend systems and a passion for applying AI to solve complex technical problems. You are comfortable designing data models, building large-scale data pipelines, and developing AI/LLM-based solutions such as retrieval systems, knowledge graphs, and agentic workflows. You thrive in highly technical and ambiguous environments, can collaborate effectively with both software and hardware engineers, and are motivated by the opportunity to build tools that directly impact the design of next-generation CPUs, GPUs, and AI accelerators.
KEY RESPONSIBILITIES:
- Design, build, and maintain backend data pipelines that turn engineering data sources into structured, quarriable representations
- Design and evolve data schemas and queries to support new engineering data types and use cases at production scale
- Build and extend AI/LLM-based components that let engineers query and interact with engineering data using natural language
- Diagnose and fix reliability and performance issues in distributed batch-processing pipelines handling large volumes of data
- Design and implement new data pipelines to bring additional engineering data domains onto the platform
- Tune LLM-based components for accuracy, cost, and latency
- Own a TDD-driven development workflow using the team's version control and code review practices
- Collaborate with architecture, verification, and design teams to translate their data and workflow needs into platform capabilities
PREFERRED EXPERIENCE:
- Strong Python engineering background, with rigorous testing discipline (unit/integration/end-to-end) in a large, shared codebase
- Experience with graph databases and/or vector search systems, including schema design and query performance for retrieval workloads
- Experience with LLM-based/agentic systems: retrieval-augmented generation, agent orchestration frameworks, tool-use/function-calling, and awareness of LLM cost/latency/token tradeoffs
- Familiarity with RTL/HDL/Physical Design semantics (SystemVerilog/Verilog/SW/HW modeling, module hierarchy, instantiation, parameters) and toolchains for parsing/elaborating hardware design source
- Experience with time-series/relational data stores and reasoning about consistency across multiple database backends
- Strong written and verbal communication skills
ACADEMIC CREDENTIALS: Bachelors/Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
This role is not eligible for visa sponsorship.
#LI-DR2
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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Find Automation Engineer JobsAutomation Engineer Job Market in San Jose
Who's Hiring
- ByteDance54
- TikTok36
- Astera Labs36
- AMD18
- Cisco18
Top Industries Hiring
- Technology & Software54
- Electronics & Hardware36
- Automotive18
Automation Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a automation engineer job in San Jose?
Focus on the sectors that dominate San Jose hiring: semiconductor fabrication, medical device manufacturing, and industrial automation. North San Jose's tech campuses and the Alviso corridor concentrate the most openings. Candidates who combine PLC programming or robotics experience with knowledge of cleanroom or FDA-regulated environments stand out locally. Targeting mid-size contract manufacturers alongside the large OEMs broadens your options considerably.
Which companies hire automation engineers in San Jose?
Companies currently hiring automation engineers in San Jose include ByteDance, TikTok, and Astera Labs, per current listings on Migrate Mate as of September 2026. San Jose's employer mix ranges from global semiconductor giants and medical device firms to specialized systems integrators that support those larger manufacturers.
Are there remote automation engineer jobs in San Jose?
Yes, but with limits, since automation engineering often requires hands-on equipment access, commissioning, and on-site testing. About 33% of automation engineer openings tied to San Jose are remote or hybrid as of September 2026, reflecting that some employers allow remote work for design, simulation, and controls programming phases. Roles focused on validation documentation or software-side controls tend to offer the most flexibility locally.
How can I get a automation engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is through a process or manufacturing technician role at one of the city's many semiconductor or medical device facilities, then transitioning into automation once you have floor-level equipment familiarity. Contract staffing agencies that place talent at North San Jose fabs regularly hire entry-level candidates for structured rotations. A portfolio showing PLC ladder logic, machine vision projects, or LabVIEW work strengthens any application significantly.
Which industries hire the most automation engineers in San Jose?
The sectors hiring the most automation engineers in San Jose are Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of September 2026. San Jose's position as the heart of Silicon Valley means semiconductor production, advanced electronics manufacturing, and life sciences drive sustained local demand for automation talent year over year.
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