The Application Engineer provides technical support for AI products, collaborates with customers, and resolves issues while maintaining documentation and driving customer satisfaction.
Responsibilities:
- Provide exceptional technical support to customers, addressing their inquiries and issues related to our AI in-memory computing products and SDKs
- Collaborate closely with customers to assist in integrating our software and SDKs into their applications, ensuring seamless performance and functionality
- Identify and troubleshoot technical challenges, delivering effective solutions to customer problems and ensuring their satisfaction
- Create and maintain technical documentation, including user guides and FAQs, to aid customers in utilizing our products effectively
- Act as a bridge between customers and product development teams, conveying customer feedback, feature requests, and improvement suggestions
- Maintain in-depth knowledge of our AI in-memory computing solutions, staying up-to-date with product updates, enhancements, and industry trends
- Provide training to customers on the proper use and best practices of our products, ensuring they maximize their potential.
- Collaborate with the Business Development team to support pre-sales activities, including technical presentations, demonstrations, and customer discussions.
- Fosters Long-term relationships with customers, ensuring they receive ongoing technical support, updates, and assistance
- Offer guidance to customers on optimizing the performance of their applications through our solutions
- Monitor and report software bugs or issues to the development team, ensuring prompt resolution and customer satisfaction.
- Collaborate with Software Engineering, Product Management, and other cross-functional teams to ensure the alignment of customer needs with product development
Requirements:
- MS with 5+ years of experience or PhD in Computer Science or Computer Engineering
- Design experience and development of programmed applications
- Proficient in programming languages, software development frameworks and tools
- Strong analytical and problem-solving skills to identify and address software issues and optimize code
- Ability to work in a startup environment and work both independently and as a team
- Ability to provide technical leadership to other members of the engineering team
- Sales and marketing experience preferred
Experience in one or more of the following areas considered a strong plus:
- Hands-on production experience with key memory blocks such as sense amplifier, charge pump, read/write assist circuit, PVT tracker, power gating etc
- Familiar with memory controller or memory interface
- Experience with emerging non-volatile memory
Salary Range: $110,000 - $300,000 / year
TetraMem San Jose, California, USA Office
San Jose, California, United States, 95131
Similar Jobs
Manufacturing
The iOS Mobile Application Developer will design, test, and support iOS applications for IoT products, leveraging AI tools and collaborating with cross-functional teams.
Top Skills:
AWSGitiOSSwiftSwiftui
Artificial Intelligence • Automotive • Semiconductor
Work on validating features in High-speed SerDes PHY for Ethernet and PCIe applications, performing verification and characterization, and collaborating with cross-functional teams.
Top Skills:
C/C++MatlabPython
Industrial • Automation • Manufacturing
The role involves engineering and sizing process valves and instruments, providing customer support, and developing technical expertise in solutions while collaborating internally and externally.
Top Skills:
ActuatorsControl SystemsInstrumentationProcess ControlValves
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
