Integration Engineer Jobs in San Jose, CA
Integration Engineer jobs in San Jose are concentrated in Silicon Valley's core, with demand driven by enterprise software, semiconductor, and networking companies in districts like North San Jose, Downtown, and the Santana Row corridor. Employers hiring right now include AMD, archer, and BKF Engineers. See the openings below and apply to the ones that match your experience.
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About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
We are looking for a hands-on System Validation Engineer to join our growing team. In this role, you will be a key contributor in our hardware lab, rigorously characterizing our system's performance, flagging issues early, and building the automated test infrastructure that will help us scale.
As a System Validation Engineer, you will be the critical bridge between our hardware and software. You will champion the end-user experience by ensuring our systems work flawlessly together.
Responsibilities
- Define, measure, and document key system performance metrics, with a strong focus on power consumption, system latency, and overall stability.
- Rigorously test iterative hardware and software releases, tracking regressions and validating performance improvements over time.
- Ensure Hark's hardware designs integrate seamlessly with software. Proactively test real-world use cases to identify, expose, and document system-level bottlenecks before they reach the user.
- Design, build, and maintain automated test setups to streamline repetitive testing processes, improve reliability, and increase overall test coverage.
- Meticulously track and document bugs. Work closely with the design team to triage issues, diagnose root causes at the system level, and verify fixes.
- Partner effectively with diverse teams across the company—including Wireless, Audio, and UX—to validate holistic system performance and ensure product excellence.
Requirements
- Proven hands-on experience in system-level hardware/software validation. You must be comfortable profiling power, diagnosing latency bottlenecks, and troubleshooting complex system interactions.
- Comfortable reading and working with hardware schematics. Hands on with common hardware lab tools. Working knowledge with Qualcomm chipsets and platforms.
- Solid background in firmware bring-up and experience working within RTOS, Linux, or Android environments.
- Strong programming skills in Python, C++, or LabVIEW. You should be able to write scripts to control standard laboratory test equipment, and/or build simple test jigs.
Bonus Qualifications
- Expertise in one of the following subsystems: camera and optical sensor, capacitive sensor, audio, wireless.
- Familiarity with Agile development processes, bug tracking tools (e.g., Jira), and version control.
Compensation
The US base salary range for this full-time position is between $120,000 - $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
We are looking for a hands-on System Validation Engineer to join our growing team. In this role, you will be a key contributor in our hardware lab, rigorously characterizing our system's performance, flagging issues early, and building the automated test infrastructure that will help us scale.
As a System Validation Engineer, you will be the critical bridge between our hardware and software. You will champion the end-user experience by ensuring our systems work flawlessly together.
Responsibilities
- Define, measure, and document key system performance metrics, with a strong focus on power consumption, system latency, and overall stability.
- Rigorously test iterative hardware and software releases, tracking regressions and validating performance improvements over time.
- Ensure Hark's hardware designs integrate seamlessly with software. Proactively test real-world use cases to identify, expose, and document system-level bottlenecks before they reach the user.
- Design, build, and maintain automated test setups to streamline repetitive testing processes, improve reliability, and increase overall test coverage.
- Meticulously track and document bugs. Work closely with the design team to triage issues, diagnose root causes at the system level, and verify fixes.
- Partner effectively with diverse teams across the company—including Wireless, Audio, and UX—to validate holistic system performance and ensure product excellence.
Requirements
- Proven hands-on experience in system-level hardware/software validation. You must be comfortable profiling power, diagnosing latency bottlenecks, and troubleshooting complex system interactions.
- Comfortable reading and working with hardware schematics. Hands on with common hardware lab tools. Working knowledge with Qualcomm chipsets and platforms.
- Solid background in firmware bring-up and experience working within RTOS, Linux, or Android environments.
- Strong programming skills in Python, C++, or LabVIEW. You should be able to write scripts to control standard laboratory test equipment, and/or build simple test jigs.
Bonus Qualifications
- Expertise in one of the following subsystems: camera and optical sensor, capacitive sensor, audio, wireless.
- Familiarity with Agile development processes, bug tracking tools (e.g., Jira), and version control.
Compensation
The US base salary range for this full-time position is between $120,000 - $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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Find Integration Engineer JobsIntegration Engineer Job Market in San Jose
Who's Hiring
- AMD62
- archer62
- BKF Engineers62
- WD21
- ASML21
Top Industries Hiring
- Telecommunications21
- Electronics & Hardware21
- Consulting & Professional Services21
Integration Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a integration engineer job in San Jose?
Focus your search on North San Jose and the Alviso corridor, where semiconductor, networking, and enterprise software companies concentrate the most integration engineer openings. Employers in these areas prioritize hands-on experience with API development, middleware platforms, and cloud infrastructure. Candidates who can demonstrate end-to-end system integration on a production environment, not just lab work, move to the front of the queue in San Jose's competitive market.
Which companies hire integration engineers in San Jose?
San Jose integration engineer roles are posted by AMD, archer, and BKF Engineers and others right now, based on current listings on Migrate Mate as of November 2026. The local employer mix runs from large semiconductor and networking hardware firms to enterprise SaaS companies and defense contractors with Silicon Valley offices.
Are there remote integration engineer jobs in San Jose?
Yes, though remote availability depends heavily on the role. Integration engineers whose work requires physical hardware access, lab environments, or on-site system configuration are rarely fully remote. About 70% of integration engineer openings tied to San Jose are remote or hybrid as of November 2026, with hybrid arrangements most common at the enterprise software and cloud platform companies headquartered downtown and in North San Jose.
How can I get a integration engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is landing a junior systems engineer or technical support role at one of the city's mid-size networking or enterprise software companies, then moving laterally once you have integration project exposure. Companies in North San Jose and the Alviso tech corridor regularly hire associate-level engineers for integration testing and QA functions. Building hands-on experience with tools like MuleSoft, Dell Boomi, or REST APIs through personal projects strengthens a San Jose application meaningfully.
Which industries hire the most integration engineers in San Jose?
The sectors hiring the most integration engineers in San Jose are Telecommunications, Electronics & Hardware, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. San Jose's role as the anchor of Silicon Valley means these sectors are home to a dense concentration of hardware, software, and infrastructure companies that rely on complex system-to-system integration at scale.
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