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Principal AI/ML Field Applications Engineer
2 weeks ago
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 ID: AI2431
Job Description
Key Responsibilities:
Engage with India customers and Partners for enabling them to design Physical AI solutions developed with 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 SDK and Solutions.
Study market vertical trends and create compelling demos/solutions for relevant markets such as Drones/UAV, Robotics, Conversation AI etc.
Represent in various industry events/conferences, roadshows.
- Keep informed of emerging trends in Embedded Edge/Physical AI markets and ML needs, mapping them to 's 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.
