Supports customers implementing PCIe products, performs hardware and software bring-up and lab debugging, develops Python automation and test scripts, reviews schematics and layouts, and prepares technical demos, collateral, and documentation for customer engagements.
Team Credo is looking for an Application Engineer to join our mission to transform connectivity at scale. This role will play a critical role in advancing semiconductor technologies through innovative design, development, and testing. This position offers opportunities for cross-functional collaboration in a high-tech environment, ideal for professionals passionate about microelectronics and integrated systems.
Base salary range is $80,000 - $130,000 a year. The base salary offer will depend on factors such as education, experience, training, skills, qualifications, and location. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.
Why Credo
Qualifications
Basic Qualifications
Responsibilities
Benefits
Credo’s mission is to transform connectivity at scale through fast, reliable, and energy-efficient system solutions. Our high-speed copper and optical interconnect products deliver industry-leading power and performance at up to 1.6T to meet the ever-expanding data infrastructure demands of AI.
Our product portfolio includes ZeroFlap (ZF) Active Electrical Cables (AECs) and ZF optical transceivers, OmniConnect memory solutions, and a suite of retimers and DSPs for optical and copper Ethernet and PCIe, all leveraging the PILOT diagnostic and analytics software platform. Credo innovations enable our customers to connect the systems that connect the world.
Credo is committed to creating an inclusive environment for all employees and welcome applicants from diverse backgrounds without regard to race, color, religion, gender, sex, gender identity, sexual orientation, pregnancy, marital status, national origin, ethnicity, genetic information, age, disability, veteran status, or any other legally protected basis. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].
Base salary range is $80,000 - $130,000 a year. The base salary offer will depend on factors such as education, experience, training, skills, qualifications, and location. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.
Why Credo
- Purpose: We invest in what matters. From meaningful-future shaping projects to competitive compensation, we empower you to grow your career while making a lasting impact.
- People: Connection starts within. We collaborate, celebrate wins, and create an environment where everyone can do their best work.
- Possibilities: Our belief shapes what’s next. Our technology powers the most reliable and energy-efficient connections around the world – and our team powers new products and markets that come next.
Qualifications
Basic Qualifications
- BSEE or MSEE, with experience in high-speed design or applications engineering a plus.
- Hands-on experience with lab equipment such as oscilloscopes and logic/protocol analyzers.
- Familiarity with the PCIe ecosystem and LTSSM is a plus.
- Strong Python skills for lab automation and test development.
Responsibilities
- Support customers designing in Credo's PCIe products.
- Support system (hardware and software) bring-up and debug in the lab.
- Develop and run Python scripts for lab automation and test execution.
- Perform schematic and layout reviews for customer designs.
- Prepare demos, collateral, and technical documentation for customer-facing engagements.
Benefits
Credo’s mission is to transform connectivity at scale through fast, reliable, and energy-efficient system solutions. Our high-speed copper and optical interconnect products deliver industry-leading power and performance at up to 1.6T to meet the ever-expanding data infrastructure demands of AI.
Our product portfolio includes ZeroFlap (ZF) Active Electrical Cables (AECs) and ZF optical transceivers, OmniConnect memory solutions, and a suite of retimers and DSPs for optical and copper Ethernet and PCIe, all leveraging the PILOT diagnostic and analytics software platform. Credo innovations enable our customers to connect the systems that connect the world.
Credo is committed to creating an inclusive environment for all employees and welcome applicants from diverse backgrounds without regard to race, color, religion, gender, sex, gender identity, sexual orientation, pregnancy, marital status, national origin, ethnicity, genetic information, age, disability, veteran status, or any other legally protected basis. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected].
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead technical strategy and architecture for developer platforms and AI-powered engineering productivity solutions. Design scalable platform services, guide automated testing and application lifecycle management capabilities, evaluate emerging technologies, and influence architecture across engineering teams. Build prototypes, address scalability, reliability, observability, security, and performance challenges, collaborate with Product and Design, establish engineering standards, and mentor senior engineers.
Top Skills:
Agentic SystemsAIApplication Lifecycle ManagementAutomated TestingCi/CdCloud-Native ApplicationsDistributed SystemsEnterprise SaasFault ToleranceJavaObservabilityPlatform Engineering
Information Technology
Design and develop complex applications using Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch. Collaborate cross-functionally to create scalable solutions, anticipate technical issues, and support system architecture. Perform automated testing and maintenance. The role requires a TS/SCI clearance with polygraph and substantial software development experience, along with a bachelor's or master's degree. Preferred experience includes Java, JavaScript, SharePoint, Oracle, MongoDB, Solr, OpenAI, and other AI technologies.
Top Skills:
Artificial IntelligenceAutomated Testing ToolsElasticsearchJavaJavaScriptJSONMongoDBNode.jsOpenaiOraclePostgresRedisSharepointSolrSQLTypescriptVBAXML
Information Technology
Develop and architect complex software applications for intelligence-sector challenges. The role uses Node.js, TypeScript, SQL, PostgreSQL, Redis, and Elasticsearch while collaborating cross-functionally, creating automated tests, and maintaining application solutions. Candidates must hold a TS/SCI clearance with polygraph, possess a bachelor’s degree with 10+ years of experience or a master’s degree with 8+ years, and complete a skills assessment.
Top Skills:
Artificial IntelligenceAutomated TestingElasticsearchJavaJavaScriptJSONMongoDBNode.jsOpenaiOraclePostgresRedisSharepointSolrSQLTypescriptVBAXML
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
