Sr. Engineer, AI/ML Apps Engineering (AI2525)
About the role
The Sr. Engineer, AI/ML Apps Engineering at SiMa.ai is responsible for serving as the primary technical interface for customers evaluating and deploying AI applications on the SiMa Modalix platform. They lead customer engagements from technical discovery through proof-of-concept, design-in, deployment, and production. The role involves architecting and developing reference applications, demonstrations, and solution accelerators for robotics, autonomous systems, industrial automation, and computer vision use cases.
Responsibilities
- Serve as the primary technical interface for customers evaluating and deploying AI applications on the SiMa Modalix platform.
- Lead customer engagements from technical discovery through proof-of-concept, design-in, deployment, and production.
- Architect and develop reference applications, demonstrations, and solution accelerators for robotics, autonomous systems, industrial automation, and computer vision use cases.
- Optimize application performance, latency, power efficiency, and overall system performance on SiMa hardware.
- Troubleshoot complex hardware/software integration challenges and provide timely technical resolution.
- Collaborate closely with Product Management and Engineering to communicate customer requirements, identify product gaps, and influence future roadmap decisions.
- Develop technical documentation, application notes, tutorials, training materials, and customer enablement content.
- Deliver technical presentations, workshops, and demonstrations for customers, partners, and industry events.
- Support customer evaluations, benchmark activities, and competitive positioning.
- Mentor junior application engineers and contribute to engineering best practices.
Requirements
- 6–8 years of experience in Field Applications Engineering, Applications Engineering, Solutions Engineering, Technical Marketing Engineering, or a similar customer-facing technical role supporting AI, embedded systems, robotics, computer vision, or edge computing solutions.
- Strong software development experience using Python and C++.
- Experience developing AI, computer vision, robotics, autonomous systems, or embedded software applications.
- Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, ONNX Runtime, OpenCV, or similar.
- Experience working with embedded Linux systems, heterogeneous compute platforms, or AI accelerators is preferred.
- A strong understanding of AI inference optimization, model deployment, and edge AI workflows.
- Experience supporting customer proof-of-concepts, application optimization, and technical issue resolution.
- Outstanding communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.
Preferred Qualifications
- Experience supporting semiconductors, AI accelerator, embedded computing, or edge AI platforms.
- Knowledge of AI agents, agentic workflows, multimodal AI systems, or LLM-based edge applications.
- Background in computer vision, autonomous navigation, perception systems, or industrial automation.
- Experience delivering technical training or speaking at customer workshops and conferences.
Benefits
The annual salary for this position ranges from $120,800 to $193,300. The actual annual salary offered will depend on several factors, including - among others - job-related skills, experience, technical expertise, qualifications, work location, and business needs. The annual salary range for this position is subject to change and may be adjusted in the future. In addition to base salary, this role is also eligible for private company equity, and a comprehensive package of employee benefits.