Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
3-5 years of experience in Field Applications Engineering, Applications Engineering, Software Engineering, Embedded Systems, AI/ML, or a related role.
Strong programming skills in C++, Python, or similar languages.
Experience troubleshooting software, embedded systems, or semiconductor products.
Familiarity with Linux environments and debugging techniques.
Strong analytical and problem-solving skills with the ability to work independently.
Excellent verbal and written communication skills.
Responsibilities
Provide technical support to customers for TetraMem's AI hardware and software solutions.
Independently troubleshoot and resolve integration issues with customers and engineering teams.
Assist customers with software installation and AI model deployment on TetraMem platforms.
Develop and maintain technical documentation, including user guides and troubleshooting articles.
Collaborate with cross-functional teams to investigate and resolve customer issues.
Support customer demonstrations and technical training sessions.
Collect and communicate customer feedback to influence product improvements.
Benefits
Flexible work environment with opportunities for remote work.
Professional development and training opportunities.
Travel opportunities to customer sites and industry events.
Collaborative and innovative company culture.
Health and wellness benefits.
Full Job Description
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.
