Platform Engineer

Platform Development Engineer – AI / ML Infrastructure

Location : HSR Layout, Bangalore

Experience : 8–15+ Years

If interested share your profile to ASAP

About the Role

We are hiring an experienced Platform Development Engineer to join a fast-growing technology company building next-generation AI / ML infrastructure solutions for large-scale performance computing and streaming platforms. The role involves working at the intersection of hardware and software — designing and developing high-performance device drivers, SDKs, and microcode to power innovative products that push the limits of data and compute performance.

Key Responsibilities

Design and develop device drivers for new ASICs and off-the-shelf silicon.

Perform board bring-up, validation , and hardware-software integration for new products.

Collaborate closely with hardware engineers to troubleshoot complex system issues.

Develop diagnostic tools and manufacturing test software for hardware validation.

Optimize embedded software for performance, reliability, and scalability .

Debug Linux kernel and hardware-level issues using lab instruments and tools (JTAG, KGDB, etc.).

Contribute to defining hardware operation and interfacing with product team

Required Skills & Experience

7–15 years of experience in embedded software, hardware bring-up , and system validation.

Expertise in C / C++ or similar high-performance languages.

Hands-on experience with RTOS (FreeRTOS) and embedded systems.

Strong understanding of buses and protocols : I2C, UART, SPI, PCIe.

Proven track record working with complex ASICs and embedded platforms.

Experience developing and supporting manufacturing test diagnostics .

Excellent debugging and problem-solving skills across hardware and software boundaries.

Why Join

Be part of a cutting-edge platform team building AI-driven products that redefine performance and scale.

Work with top engineers shaping next-generation compute and networking systems .

A collaborative, inclusive environment that values innovation, ownership, and continuous learning.