Responsibilities: - 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, working directly with customers and internal engineering teams.
- Assist customers 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, troubleshooting guides, and knowledge base articles.
- Collaborate with Software, Compiler, Hardware, Machine Learning, and Product Engineering teams to investigate customer issues and drive timely resolutions.
- Support customer demonstrations, technical training, proof-of-concept evaluations, and pre-sales technical engagements.
- Collect, analyze, and communicate customer feedback, feature requests, and technical issues to influence future product improvements.
- Perform system validation, benchmarking, and performance analysis to ensure customer applications achieve expected functionality and performance.
- Build strong technical relationships with customers by providing responsive support and serving as a trusted technical advisor.
- Travel as needed to customer sites, industry events, and technical meetings to support product evaluations, integration activities, and customer success.
Qualifications 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.
Preferred 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.
Salary Range: $120,000 - $180,000 / year
