Field Application Engineer
$120,000–$180,000 year
On-siteSan Jose, California, United States
Job Summary
Provide technical support to customers evaluating and deploying TetraMem's AI hardware, SDKs, and software solutions throughout the product lifecycle. Independently troubleshoot and resolve hardware, software, SDK, and system integration issues while collaborating with cross-functional engineering teams. Assist with software installation, SDK integration, AI model deployment, and system performance optimization on TetraMem platforms. Develop and maintain technical documentation, including application notes, user guides, and knowledge base articles. Support customer demonstrations, technical training, proof-of-concept evaluations, and pre-sales technical engagements. Collect and analyze customer feedback to influence future product improvements. Perform system validation, benchmarking, and performance analysis to ensure expected functionality. Travel as needed to customer sites, industry events, and technical meetings to support product evaluations and integration activities.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- 3-5 years of experience in Field Applications Engineering, Applications Engineering, Software Engineering, Embedded Systems, AI/ML, or a related technical role.
- Strong programming skills in C++, Python, or a similar programming language.
- Experience troubleshooting software, embedded systems, or semiconductor products.
- Familiarity with Linux environments, software development tools, and debugging techniques.
- Strong analytical and problem-solving skills with the ability to work independently.
- Excellent verbal and written communication skills with the ability to interact effectively with customers and cross-functional teams.
- Ability to manage multiple priorities in a fast-paced startup environment.
Desired Qualifications
- Experience with AI accelerators, machine learning frameworks, embedded systems, or edge AI applications.
- Familiarity with semiconductor products, SoCs, ASICs, or compute-in-memory technologies.
- Experience supporting SDKs, APIs, or software integration for customer applications.
- Experience with customer-facing technical support, product demonstrations, or application development.
- Knowledge of Git, CI/CD, scripting, and performance analysis tools.
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