Engineering Jobs in Palo Alto, CA
Engineering jobs in Palo Alto are concentrated along the Stanford Research Park corridor, downtown University Avenue, and the East Meadow Drive tech campus cluster, with demand running deep across semiconductor design, software infrastructure, and clean energy. Employers actively hiring right now include Tesla, JPMorganChase, and Rivian. Find a role that fits below and apply directly.
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Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Operations team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across Data and AI domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job Responsibilities
- Sets the direction for Data and AI technology platforms.
- Directly manages multiple areas with strategic focus on Transactional and Analytics Data and AI systems
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
- Enable existing or new data applications and related data models to be ready for consumption by AI Agents
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
Required qualifications, capabilities, and skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 15+ years of experience in software engineering, with at least 5 years building and managing large scale, critical and complex distributed data management systems.
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Experience developing or leading large or cross-functional teams of Data and AI technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience leading projects supporting complex data system design, data quality testing, and operational stability
- Ability to influence and drive change across technology and business teams
- Experience with hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
- Strong data engineering foundations including experience developing and managing complex data models, extensible ETL/ELT patterns and multi-modal Search techniques
- Proficiency with the modern data stack: SQL plus at least one general-purpose language (commonly Python/Java/Scala)
- Distributed systems & cloud literacy: understanding of performance, partitioning, storage formats, compute engines, and cloud services.
- Data quality & observability mindset: automated tests, monitoring/alerting, SLAs/SLOs, lineage, and incident response basics.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience with hiring, developing, and recognizing talent
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorganChase within the Commercial and Investment Bank Operations team, you lead multiple technical areas, manage the activities of multiple departments, and collaborate across Data and AI domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job Responsibilities
- Sets the direction for Data and AI technology platforms.
- Directly manages multiple areas with strategic focus on Transactional and Analytics Data and AI systems
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
- Enable existing or new data applications and related data models to be ready for consumption by AI Agents
- Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
Required qualifications, capabilities, and skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 15+ years of experience in software engineering, with at least 5 years building and managing large scale, critical and complex distributed data management systems.
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Experience developing or leading large or cross-functional teams of Data and AI technologists
- Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience leading projects supporting complex data system design, data quality testing, and operational stability
- Ability to influence and drive change across technology and business teams
- Experience with hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
- Strong data engineering foundations including experience developing and managing complex data models, extensible ETL/ELT patterns and multi-modal Search techniques
- Proficiency with the modern data stack: SQL plus at least one general-purpose language (commonly Python/Java/Scala)
- Distributed systems & cloud literacy: understanding of performance, partitioning, storage formats, compute engines, and cloud services.
- Data quality & observability mindset: automated tests, monitoring/alerting, SLAs/SLOs, lineage, and incident response basics.
- Proven track record of delivering complex trading or financial systems in a global banking environment
- Experience with hiring, developing, and recognizing talent
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 475+ Engineering Jobs in Palo Alto
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Find Engineering JobsEngineering Job Market in Palo Alto
Who's Hiring
- Tesla352
- JPMorganChase53
- Rivian18
- Lockheed Martin18
- Delfi Diagnostics18
Engineering Jobs in Palo Alto: Frequently Asked Questions
How do I get a engineering job in Palo Alto?
The strongest path into Palo Alto engineering work is targeting the city's dense concentration of semiconductor firms, early-stage hardware startups, and established software companies anchored near Stanford Research Park. Candidates who can demonstrate hands-on systems or product experience stand out here. Networking through Stanford-adjacent events and local IEEE chapter meetups gives you direct access to hiring teams at smaller firms that rarely post widely.
Which companies hire engineerings in Palo Alto?
Palo Alto engineering roles are posted by Tesla, JPMorganChase, and Rivian and others right now, based on current listings on Migrate Mate as of September 2026. The local employer mix skews toward deep-tech spinouts, established semiconductor companies, and enterprise software firms that maintain headquarters or major R&D offices in the city.
Are there remote engineering jobs in Palo Alto?
Yes, though it depends on the discipline: software and systems engineering roles tend to offer remote flexibility, while hardware, lab, and manufacturing engineering roles are almost always on-site. About 100% of engineering openings tied to Palo Alto are remote or hybrid as of September 2026, with hybrid arrangements most common at the larger enterprise employers along the Stanford Research Park corridor.
How can I get a engineering job in Palo Alto with little or no experience?
The most realistic entry point in Palo Alto is a junior or associate engineering role at a mid-stage startup, where smaller teams mean broader exposure and faster responsibility growth. Companies in the Stanford Research Park and downtown Palo Alto office clusters regularly recruit new graduates and career changers into test engineering, product operations, and quality assurance roles. Completing a senior capstone project or a relevant internship with a local firm strengthens any application considerably.
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