Sima.ai Technologies - Principal AI/ML Field Applications Engineer

About the job :

Description :

Job Title : Principal AI/ML Field Applications Engineer

Job Location : Bangalore, India (This position requires a full-time, on-site presence in our Bangalore, India office)

Job Description :

Key Responsibilities :

- Engage with India customers and Partners for enabling them to design Physical AI solutions developed with SiMa.ai platform.

- Guide and support in reviewing existing architecture, proposing alternatives, creating minimum viable solution quickly for demonstration and then scale up to create complete solution.

- Responsible for selection of various solution components such as Cameras, lighting, SW solution from third party and creating integrated solution meeting customer requirements.

- Contribute to SoW for customer projects on 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.

- Responsible for technical deep dive training customers and Partners on SiMa.ai SDK and Solutions.

- Study market vertical trends and create compelling demos/solutions for relevant markets such as Drones/UAV, Robotics, Conversation AI etc.

- Represent SiMa.ai in various industry events/conferences, roadshows.

- Keep informed of emerging trends in Embedded Edge/Physical AI markets and ML needs, mapping them to SiMa.ais MLSoC.

- Gather and relay customer feedback to Product Management for product improvements.

- Support Sales in expanding existing accounts, identifying new customers, and defending design wins.

- Track customer interactions, ensuring follow-ups and effective communication.

- Conduct competitive analysis through customer and industry insights.

Must Have :

Desired background, qualifications, and skills :

- Bachelor's or higher degree in Computer Science/Electronics engineering with 10 to 15 years of relevant experience.

- Preferred to have any Embedded Edge AI related certification.

- 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.

Preferred :

- System/Solution Architecture (HW + SW + Edge AI) experience with any of the Edge AI platforms like Jetson, Kinara, Kria SOM

- Experience in customer-facing roles such as Application/Field Application Engineering role

- Experience with Conversation AI applications, LLM based applications development.

- Willing to travel ~25% of the time.

Personal Attributes :

- Self-motivated individual with Can-do attitude, Ability to work and collaborate cross functionally, Strong team player.

- Curious, creative and good at solving problems.

- Execution and result oriented. Self-driven, Thinks Big and is highly accountable.

- Excellent verbal and written communication skills, Able to work in fast-paced startup environment.