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Principal AI/ML Field Applications Engineer (AI2437)
SiMa.aiSan Jose, United Statesfull_timeVerifiedPosted 3 Sept 2025
💰 $240,000/yr($200,000/yr – $240,000/yr)
About the role
Job Title: Principal AI/ML Field Applications Engineer Job Location: This role is open to candidates located in any US city, preferably in the East Coast. Job Number: AI2437 Job Description: Key Responsibilities:
- Engage with North America customers and Partners for enabling them to design Physical AI solutions developed with SiMa.ai platform.
- Drive customer engagements by assisting Sales in technical presentations and securing design wins.
- Bring up and train customers on SiMa.ai development platform and provide guidance on system design.
- Track customer interactions, ensuring follow-ups and effective communication.
- Responsible for technical deep dive training customers and Partners on SiMa.ai SDK and Solutions.
- Contribute to SoW for customer projects on a need basis.
- Work with other AEs and engineering team for Product evaluation, solution development and deployment, and solution porting. This includes AI Models selection, performance evaluation, creating end-to-end applications, debugging and deployment.
- Guide and support in reviewing existing architecture, proposing alternatives, creating minimum viable solution quickly for demonstration and then scale up to create complete solution.
- Study market vertical trends and create compelling demos/solutions for relevant markets such as Drones/UAV, Robotics, Conversation AI etc.
- Represent SiMa.ai in industry events/conferences, roadshows.
- Keep informed of emerging trends in Embedded Edge/Physical AI markets and ML needs, mapping them to SiMa.ai’s MLSoC.
- Gather and relay customer feedback to Product Management for product improvements.
- Bachelor's or higher degree in Computer Science/Electronics engineering with 12 to 15 years of relevant experience.
- Demonstrated experience in ML and Computer vision applications development and best practices.
- Experience in C++/Python/GStreamer, Device Drivers, SDK and debugging embedded systems.
- Experience in deep learning frameworks (Onnx, TensorFlow, PyTorch, etc.).
- Demonstrated proficiency in Solution development for ARM based SoC with features such as PCIe, MIPI, Ethernet, Video etc.
- Experience in board bring-up, debug and key considerations for system level solution development.
- Demonstrated experience with software development in a Linux environment.
- System/Solution Architecture (HW + SW + Edge AI) experience with any of the Edge AI platforms and AI accelerators
- Prior experience in customer-facing roles such as Application/Field Application Engineering
- Experience with AI/ML, Conversational AI, and LLM based applications,
- Willing to travel ~50% of the time.
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