Embedded Edge AI Software Engineer

Experience: 3 to 8 Years

Job Location: Hyderabad/Bangalore

Role & Responsibilities / What you’ll do:

• Explore and integration of various open source Python packages for ML/DL models, and creation of virtual machine/container for a given model
• Creation of interface plug-ins/communication interface between multiple virtual machine/containers
• Integration of host physical communication interfaces of audio, video and USB interfaces with the virtual machines/containers.
• Integration and testing of multiple virtual machines with external hardware
• Work along with hardware, software and QA teams
• Participate in the team's software processes, including -- requirements and design documentation, test-plan generation and execution, peer design and code reviews, process feedback and improvements
• Stay updated with the industry trends and developments.

Required skills / Whom we are looking for:

• Bachelor’s or Master’s degree in related engineering field with 3 to 8 years of hands-on experience in embedded software development based on MCU/MPU
• Programming Language: Proficiency in Python (Multi-threading and OOPS) with basic~intermediate C/C++.
• Experience with Python communication/multimedia packages – Socket, PySerial, PyUSB, PyAudio, PyPi
• Experience with ML frameworks such as TensorFlow, TensorFlowLite Micro or PyTorch embedded systems
• Experience containers/docker deployment
• Good understanding and experience on various HW interfaces like UART, SPI, I2C, I2S, Ethernet, Wi-Fi, Bluetooth
• Experience with version control systems such as Git or SVN.
• Excellent problem-solving skills with a focus on optimizing software for embedded hardware.
• Strong communication skills and the ability to work effectively in a collaborative, cross-functional team environment.
• Detail-oriented with a focus on delivering high-quality, reliable software.
• Self-motivated with a strong passion for embedded AI systems and technology.

Nice-to-haves

• Familiarity with continuous integration and automated testing practices
• Customization of linker scripts and memory layout for embedded toolchains (GCC/IAR/ARM)
• Debugging skills and use of tools like JTAG, logic analyzers, and oscilloscopes
• Experience with AWS services like AMI creation and distribution

Why join us:

• Opportunity to work on innovative projects with the latest Embedded & AI technologies
• Opportunities for accelerated career growth and professional development. Engineer your future, we empower our employees to truly own their career and development.
• A collaborative and inclusive team culture
• Competitive compensation and benefits package