Firmware Engineer
Applied Intuition
- Location
- Bangalore
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- 1h ago
Skills
About this role
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions We are looking for firmware engineers who want to own the foundation of new hardware platforms from day one. This role focuses on low level firmware development, early board bring up, and system level enablement across microcontrollers and infotainment class SoCs. As a firmware engineer, you will work close to the hardware with end to end ownership from first power-on through to a stable, production ready platform. Your work will define boot flows, OS bring up, performance characteristics, and power behavior that future products and teams will build on. This is a deeply hands-on role for engineers who enjoy operating at the boundary of hardware and software, solving hard problems, and setting technical direction rather than inheriting it. You will collaborate closely with global teams, silicon vendors, and hardware partners and help establish best practices and technical standards for the India organization. At Applied, you will Lead board bring up for new hardware platforms including microcontrollers and infotainment SoCs Develop and debug bootloaders and early boot software Bring up and customize FreeRTOS, QNX, Linux, and Android on new boards Enable Linux kernel and device driver enablement for custom hardware Optimize boot time, system startup, and runtime performance Drive power optimization across boot, idle states, and active workloads Debug complex hardware and software issues using JTAG, logic analyzers, and low level logs Collaborate closely with hardware teams, BSP vendors, and silicon partners Support system integration, validation, and bring up on real target hardware At Applied we’re looking for someone who has Strong experience in firmware or low level embedded systems development Hands on experience with board bring up for MCUs or SoCs Deep knowledge of FreeRTOS and/or QNX for embedded systems Experience with the Linux kernel or Android at the platform level Solid understanding of bootloaders such as U Boot or custom boot flows Strong C and C++ programming skills Experience debugging early boot and hardware dependent issues Understanding of power management, boot optimization, and performance tuning Comfortable reading schematics and datasheets and working close to hardware Ability to work independently and take ownership from bring up to stabilization Nice to have Experience with BSP customization and silicon vendor SDKs Familiarity with secure boot, firmware update flows, or OTA mechanisms Experience supporting customer facing engineering or production bring up Experience with cloud-connected vehicle platforms, SDV architectures, and AI-driven automotive applications