The Firmware Engineer will design and implement firmware for the Roadio camera system, develop driver-level and application-level firmware, and work with mobile teams to ensure low-latency functionality in embedded systems.
Roadio is an Advanced Rider Assistance System (ARAS) purpose-built for motorcycles, mopeds and scooters. Using cameras, computer vision, and predictive-AI, we deliver real-time hazard detection, rider alerts, and active safety signals. Roadio is a venture backed startup with a global team.
About The Role
The Roadio team is looking for an experienced firmware engineer. You'll be responsible for owning the firmware development efforts and will work closely with a small global team in Taiwan, USA, and Canada. This role requires a high level of autonomy and ingenuity and is an instrumental part of our success plan.
Responsibilities
- Architect and implement the firmware stack for the Roadio camera system
- Develop driver-level firmware for peripheral hardware like image sensors, SerDes, USB, and much more
- Develop application-level firmware for ISP, video encoding, and communications over USB
- Optimize the design and implementation for a power and resource constrained embedded system
- Work closely with our iOS and Android development team to deliver a low-latency, efficient, end-to-end computer vision pipeline & pleasant experience to the end-user
Preferred Qualifications
- 3+ years of experience as a firmware engineer in consumer electronics
- Experience writing bare metal C or C++ firmware, and strong knowledge of embedded RTOSes
- Knowledge of communication protocols like I2C, SPI, UART, MIPI, CAN, USB, SerDes
- Familiar with lab equipment like oscilloscopes, logic analyzers, and soldering
- Experience working and negotiating with manufacturers from the customer perspective
- Strong written & verbal communication in English (Mandarin a plus)
Nice to Have
- Experience with deploying bare metal code to high performance multi-core ARM based SoCs (A53/ARMv8 or similar)
- Experience with at least one of: image compression, video codecs, image signal processing algorithms (e.g., denoising, motion compensation, sharpening, etc)
- Experience with embedded Linux
- Experience developing firmware under ISO 26262 or IEC 61508 (MISRA/SIL/ASIL)
Benefits
- Competitive salary & benefits
- Equity, based on experience
- Flexible PTO
- Impact within a small team
At Roadio, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Roadio is an equal opportunity employer. Employment at Roadio is based solely on a person's merit and qualifications directly related to professional competence. Roadio does not discriminate against any employee or applicant because of race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law.
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead firmware and full-stack development for edge AI safety products, spanning embedded systems, Go backend services, and web or mobile surfaces. Own features from customer problem through fleet-scale deployment, establish architecture, optimize AI algorithms for constrained devices, partner with hardware and cross-functional teams, mentor engineers, and deliver high-impact products across more than one million connected devices.
Top Skills:
C/C++Camera SystemsComputer VisionEdge AiEmbedded SystemsFirmwareGoIotKernel DriversMachine Learning ModelsMultimedia FrameworksPythonReal-Time SystemsVideo Codecs
Hardware • Energy
Own real-time firmware for bidirectional DC/DC converters in safety-critical battery systems. Design and implement discrete-time control loops, protection functions, deterministic ISR and scheduler architectures, operating-mode arbitration, and portable control libraries. Bring up converter hardware, validate loop stability and transient performance, correlate models with measurements, and maintain simulation, hardware-in-the-loop, specifications, and certification evidence. Review embedded code and contribute to hardware design reviews involving sensing, ADCs, PWM, and protection paths.
Top Skills:
AdcAnalog ComparatorsArm Cortex-MCCanCanopenDacDmaDspic33CDspic33ChDspic33CkHardware-In-The-LoopHigh-Resolution PwmLtspiceMatlabMisra CMplab XNetwork AnalyzerOscilloscopesPlecsProcessor-In-The-LoopSimulinkSpiceXc16
Hardware • Energy
Leads real-time firmware for bidirectional DC/DC converters, implementing control loops, compensators, protection logic, mode arbitration, deterministic ISR scheduling, and hardware abstraction. Brings up converter hardware, verifies firmware against control models, measures timing and performance, supports certification evidence, and leads code reviews and power conversion firmware architecture.
Top Skills:
AdcArm Cortex-MCCanCanopenDmaDspic33CDspic33ChDspic33CkHardware-In-The-LoopMatlab/SimulinkMisra CMplab XPlecsProcessor-In-The-LoopPwmStatic AnalysisXc16
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


