About InnoPhase IoT
If you are keen to work with a bunch of brilliant people with various backgrounds, if you share the same value of working smart and celebrating successes, if you have enthusiasm for big technology in a small company, if your goals are to learn and experience different aspects of work--not just singing the same song every day, you’ll find your playground at Innophase IoT.
We are looking for people seeking AWESOMENESS! If you’re good at what you do, you can work anywhere. If you’re the best at what you do, come work at Innophase IoT!
We are seeking an MCU Software Engineer to design, develop, debug, and optimize embedded software for microcontroller-based systems. The engineer will work closely with hardware, system, firmware and application teams to deliver reliable real-time embedded solutions for wireless IoT devices and products.
Key Responsibilities:
- Develop embedded software for Wireless IoT based platforms.
- Develop ARM-M series and RSIC-V RTOS-based platform software, middleware, and APIs to various user applications.
- Triage and debug hardware / firmware / software / application integration issues.
- Implement and optimize real-time networking software stacks.
- Work with peripherals such as UART, SPI, SDIO, I2C, GPIO, PWM, etc.
- Work with flash, memory, bootloader, crypto lib subsystems.
- Work with Wi-Fi, BT/BLE, Zigbee/Thread wireless subsystems.
- Collaborate with worldwide team in delivering high quality BSP and SDK.
- Assist release management for BSP and SDK release.
Job Requirements:
- BS or MS in Computer Engineering or equivalent with 5 - 10 years’ experience in embedded software development.
- MCU software development and integration experiences on devices such as ESP32 and STM32
- Proficiency in C/C+/MicroPython
- Proficiency in Wi-Fi APIs, BLE HCI, and Peripheral HAL and Drivers.
- Substantial experiences of networking stack (Ethernet, TCP/IP suite)
- Working experiences with GIT and JIRA
- Strong capability in design, debug, trouble-shot independently and with others.
- Excellent written and oral interpersonal communication and documentation skills.
- Eager to learn, grow and contribute in a diverse and fast-paced team environment.
Nice to Have
- Good knowledge on Wireless protocol (Wi-Fi, BT/BLE, and Zigbee / Thread) and IoT application layer protocol (MQTT, CoAP, and HTTP/HTTPS)
- Good knowledge on Agile Software Development Process such as Scrum
- Experiences with JTAG/SWD debuggers, oscilloscope, logic analyzer, protocol analyzers.
- Exposure to system test, troubleshooting, and root-cause analysis of Wireless IoT product.
- Knowledge of WFA/Regulatory/PSA certification is a plus.
It is key to unleash the potential in every employee, every team, every leader, and the company herself. We know employees perform best when motivated, appreciated and recognized, and can be themselves. We are committed to building a culture where every voice can be heard, everyone has room for growth and can make meaningful contributions. At the end of the day, we want success not just for the company, but also for everyone who believes in the company, the vision, and the future.
InnoPhase IoT San Jose, California, USA Office
The headquarters is located in a modern, high-end office park with numerous tech companies in the neighborhood. It is close to plenty of good restaurants and access to public transportation.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

