Principal AI/ML Field Applications Engineer

1 day ago


Bengaluru, Karnataka, India SiMa Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Brief Description:

is scaling Physical AI in Robotics, Automotive, Industrial, Aerospace and Defense, and Medical markets. We have created the industry's best purpose-built, software centric Physical AI HW/SW platform that leads the industry in Ease of use, performance, and power efficiency. is led by technologists and business veterans backed by a set of top investors committed to helping customers bring ML on their platforms. was founded in 2018, has raised $355M and is backed by Fidelity Management & Research Company, Maverick Capital, Point72, MSD Partners, VentureTech Alliance and more. For more information, visit

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.

Desired background, qualifications, and skills:

MUST HAVE:

  • 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.



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