Staff Software Engineer Jobs in San Jose, CA
Staff Software Engineer jobs in San Jose are in high demand, concentrated in North San Jose's tech corridor, Downtown, and the Santana Row and West San Jose clusters, across semiconductors, enterprise software, cloud infrastructure, and AI platforms. Top employers hiring right now include Google, Celestica, and Adobe. Scan the live roles below and apply to whichever ones fit.
Find Staff Software Engineer JobsOverview
Showing 5 of 766+ Staff Software Engineer jobs
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World's Technology Together
Our technology solutions power the tools you use every day-including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.
Advancing the World's Technology Together
Our technology solutions power the tools you use every day-including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.
About the Role
We are seeking a Senior Staff Engineer to build and optimize the EDA design environment and large-scale compute infrastructure that supports our semiconductor design organizations, and to establish company-wide standards and processes for EDA licensing and R&D software. In this role, you will design and standardize the shared design environments and infrastructure used across multiple design organizations, driving engineering productivity and cost efficiency at scale.
AI/PI Group is an internal AI and Process Innovation organization within Samsung DSA, dedicated to transforming how our company works through artificial intelligence. We accelerate AI adoption across the entire organization — from reshaping day-to-day workflows and automating core internal processes to empowering our workforce with practical, intelligent tools. The Applied AI Engineering team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation AI frameworks. We aim to enable frontier AI models to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.
What You'll Do
- Design, build, and productize agentic AI applications that combine vision and language models — owning the architecture end-to-end from prototype through deployment and ongoing operation.
- Architect multi-agent systems using frameworks such as LangGraph, LangChain, AutoGen, or CrewAI, including agent orchestration, tool and function routing, state and memory management, error recovery, and human-in-the-loop workflows.
- Establish evaluation frameworks and quality bars for agentic and multimodal systems: define reference and non-reference metrics, build benchmark suites and regression harnesses, and instrument agent trajectories for offline and online evaluation.
- Drive quality, cost, and latency trade-off decisions with data — selecting models, routing strategies, and inference configurations that meet product requirements within compute and memory budgets.
- Optimize inference performance on accelerated hardware through quantization, batching, caching, kernel- and runtime-level tuning, and model/hardware co-design; profile workloads to identify and eliminate bottlenecks.
- Identify and solve multi-discipline AI acceleration problems, especially with memory bottlenecks, involving algorithms, network design, hardware architecture
- Work with researchers and application developers to enable the latest machine learning work to optimize performance.
What You Bring
- BS with 10+ years, MS with 8+ years, or PhD with 5+ years of experience in Computer Science, Electrical Engineering, or a related field
- Demonstrated track record of deploying and operating LLM- or vision-powered systems in production, with proven experience in evaluation and safe rollout practices (A/B testing, canary releases, offline/online evaluation) — including defining quality metrics, benchmarking models, and driving quality/cost/latency trade-off decisions
- Hands-on expertise with agentic AI frameworks (LangGraph, CrewAI, ADK) — multi-agent orchestration and patterns, tool routing, state management, and/or interoperability protocols (MCP, A2A)
- Experience with LLM inference optimization and serving (e.g., vLLM, TensorRT-LLM), covering quantization, KV-cache management, and hardware-aware deployment
- Strong Python and C/C++ skills with deep experience in PyTorch/TensorFlow, and experience designing, building, and securing large-scale distributed systems
Preferred Qualification
- PhD of software engineering experience
- MLOps exposure: prompt/version management, monitoring, observability
- Experience with ML, graphics or computer vision accelerator
- Understanding of PPA (performance, power, and area) trade-offs, memory controller architecture and/or general computer architecture is beneficial
- Familiarity with state-of-the-art AI workloads and their compute and memory requirements
- Experience with performance modeling of heterogenous systems is beneficial
- Ability to meet aggressive project deadlines in a team environment
#LI-VL1
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Our Commitment to Innovation and Fairness
At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.
Trade Secret Notice
By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World's Technology Together
Our technology solutions power the tools you use every day-including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.
Advancing the World's Technology Together
Our technology solutions power the tools you use every day-including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities.
About the Role
We are seeking a Senior Staff Engineer to build and optimize the EDA design environment and large-scale compute infrastructure that supports our semiconductor design organizations, and to establish company-wide standards and processes for EDA licensing and R&D software. In this role, you will design and standardize the shared design environments and infrastructure used across multiple design organizations, driving engineering productivity and cost efficiency at scale.
AI/PI Group is an internal AI and Process Innovation organization within Samsung DSA, dedicated to transforming how our company works through artificial intelligence. We accelerate AI adoption across the entire organization — from reshaping day-to-day workflows and automating core internal processes to empowering our workforce with practical, intelligent tools. The Applied AI Engineering team is the driving force behind this vision, leading innovation at the intersection of machine learning and system engineering to develop and operate our next-generation AI frameworks. We aim to enable frontier AI models to autonomously plan, retrieve information, coordinate with tools, and execute multi-step workflows across our internal knowledge ecosystem. We are actively seeking talented Machine Learning Engineers specializing in building next-generation AI/ML solutions.
What You'll Do
- Design, build, and productize agentic AI applications that combine vision and language models — owning the architecture end-to-end from prototype through deployment and ongoing operation.
- Architect multi-agent systems using frameworks such as LangGraph, LangChain, AutoGen, or CrewAI, including agent orchestration, tool and function routing, state and memory management, error recovery, and human-in-the-loop workflows.
- Establish evaluation frameworks and quality bars for agentic and multimodal systems: define reference and non-reference metrics, build benchmark suites and regression harnesses, and instrument agent trajectories for offline and online evaluation.
- Drive quality, cost, and latency trade-off decisions with data — selecting models, routing strategies, and inference configurations that meet product requirements within compute and memory budgets.
- Optimize inference performance on accelerated hardware through quantization, batching, caching, kernel- and runtime-level tuning, and model/hardware co-design; profile workloads to identify and eliminate bottlenecks.
- Identify and solve multi-discipline AI acceleration problems, especially with memory bottlenecks, involving algorithms, network design, hardware architecture
- Work with researchers and application developers to enable the latest machine learning work to optimize performance.
What You Bring
- BS with 10+ years, MS with 8+ years, or PhD with 5+ years of experience in Computer Science, Electrical Engineering, or a related field
- Demonstrated track record of deploying and operating LLM- or vision-powered systems in production, with proven experience in evaluation and safe rollout practices (A/B testing, canary releases, offline/online evaluation) — including defining quality metrics, benchmarking models, and driving quality/cost/latency trade-off decisions
- Hands-on expertise with agentic AI frameworks (LangGraph, CrewAI, ADK) — multi-agent orchestration and patterns, tool routing, state management, and/or interoperability protocols (MCP, A2A)
- Experience with LLM inference optimization and serving (e.g., vLLM, TensorRT-LLM), covering quantization, KV-cache management, and hardware-aware deployment
- Strong Python and C/C++ skills with deep experience in PyTorch/TensorFlow, and experience designing, building, and securing large-scale distributed systems
Preferred Qualification
- PhD of software engineering experience
- MLOps exposure: prompt/version management, monitoring, observability
- Experience with ML, graphics or computer vision accelerator
- Understanding of PPA (performance, power, and area) trade-offs, memory controller architecture and/or general computer architecture is beneficial
- Familiarity with state-of-the-art AI workloads and their compute and memory requirements
- Experience with performance modeling of heterogenous systems is beneficial
- Ability to meet aggressive project deadlines in a team environment
#LI-VL1
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Our Commitment to Innovation and Fairness
At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified.
Trade Secret Notice
By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
See All 766+ Staff Software Engineer Jobs in San Jose
Find roles in San Jose that match your experience and apply in just a few clicks.
Find Staff Software Engineer JobsStaff Software Engineer Job Market in San Jose
Who's Hiring
- Google104
- Celestica83
- Adobe62
- Samsung Semiconductor Inc (US)62
- archer41
Top Industries Hiring
- Technology & Software124
- Electronics & Hardware83
- Automotive21
- Law & Legal Services21
- Transportation & Logistics21
Staff Software Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a staff software engineer job in San Jose?
Focus your search on San Jose's highest-hiring sectors: semiconductor design, enterprise SaaS, cloud infrastructure, and AI hardware and software. The North San Jose tech corridor and Downtown draw the largest concentration of openings. Candidates who strengthen system design skills, contribute to open-source projects, and build connections at local meetups and tech events consistently stand out in this market.
Which companies hire staff software engineers in San Jose?
San Jose staff software engineer roles are posted by Google, Celestica, and Adobe and others right now, based on current listings on Migrate Mate as of August 2026. San Jose's employer base skews heavily toward semiconductor firms, established enterprise tech companies, and fast-growing cloud and AI startups concentrated in the North San Jose and Downtown corridors.
Are there remote staff software engineer jobs in San Jose?
Yes, though availability depends on the specialty, since roles tied to hardware, on-site infrastructure, or lab environments tend to require in-person work while backend, cloud, and platform engineering positions are frequently remote-eligible. About 25% of staff software engineer openings tied to San Jose are remote or hybrid as of August 2026. Cloud and enterprise SaaS employers in the area tend to offer the most flexible arrangements.
How can I get a staff software engineer job in San Jose with little or no experience?
The most realistic entry path is targeting associate or mid-level software engineer roles at San Jose's mid-size SaaS and cloud companies, which tend to invest more in developing engineers than larger semiconductor or hardware firms. Internships at local tech companies, contributions to open-source projects used by San Jose employers, and completing a reputable bootcamp with local hiring partnerships can open doors to that first role here.
Which industries hire the most staff software engineers in San Jose?
The sectors hiring the most staff software engineers in San Jose are Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of August 2026. San Jose's role as the heart of Silicon Valley means semiconductor, enterprise software, and cloud infrastructure companies are especially concentrated here, driving consistent and high-volume demand for senior engineering talent.
Related Jobs in California
See All 766+ Staff Software Engineer Jobs in San Jose
Find roles in San Jose that match your experience and apply in just a few clicks.
Find Staff Software Engineer Jobs