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Sr. Wi-Fi Firmware Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: InnoPhase IoT
Full Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Embedded Software Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Staff/Sr. Staff Wi-Fi Firmware Engineer

We are looking to augment our Wi‑Fi firmware team with a highly motivated, analytical Principal Software Engineer with embedded software development experience. The ideal person for this role is highly technical, with proven track record designing scalable, modular, and reliable firmware for wireless IoT solutions.

Key Responsibilities
  • Design and develop firmware for our cutting edge ULP wireless solutions
  • Lead the 802.11 MAC layer feature design and development of our homegrown So Cs
  • Collaborate with worldwide team in delivering high quality end-to-end ecosystem solution.
Job Requirements
  • BS or MS in Computer Science with 5–10 years’ experience in embedded firmware development
  • Extensive experience working on wireless products (Wi‑Fi/Bluetooth/Zigbee)
  • Good understanding of IEEE 802.11a/b/g/n/ac/ax/be MAC and PHY specifications
  • Extensive C coding experience required, knowledge of Python a plus
  • Experience with RTOS (Real‑Time Operating Systems) is required
  • Strong interpersonal communication skills and ability to work well in a diverse, team‑focused environment
  • Strong track record of delivering products and features on schedule
Desirable Skills
  • Must have 5–10 years of hands‑on working experience with real‑time embedded systems
  • Must have prior WMAC firmware development experience
  • Must have good understanding of IEEE
    802.11 specs and multi‑threaded embedded system concepts
  • Working knowledge of networking stack (Ethernet, TCP/IP suite) desired
  • Experience with GIT and JIRA
  • Team player with a strong sense of urgency to meet product needs on time
  • Knowledge of low‑power design and algorithms that optimize resource utilization around traffic models is a big plus
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