Senior ADAS AI Application Developer
1 day ago
You will be responsible for developing proof-of-concept software for vision and radar applications in automotive systems, leveraging computer vision and radar features using DSP and Renesas-specific IPs.
Your key responsibilities include:
- Bridging the gap between computer vision and radar applications on R-CAR Vx hardware platforms and model/simulator environments.
- Collaborating with multiple teams to pre-develop computer vision and radar features, debugging, and fixing related bugs.
- Prototyping computer vision and radar processing features for future products and designing efficient architectures.
- Defining KPIs and conducting performance evaluations to ensure optimal system efficiency.
- Discussing requirements for future ADAS products, including tools, software, and hardware, with respective system architecture and hardware/software development teams.
- Documenting proof-of-concept code and benchmark results, providing meaningful application notes for stakeholders.
To succeed in this role, you will need:
- At least 6 years of relevant embedded programming and debugging experience with C/Cpp in an embedded system like R-CAR SOC.
- Experience with software design using Linux OS (software design with QNX is a plus).
- A proven track record in software development, including application bring-up and debugging with embedded systems.
- Ability to work with simulator and hardware environments, as well as device flashing.
- Proven experience with automotive computer vision and radar applications.
- Experience working with ARM architectures.
- An academic degree in Computer Science, Electronics, or a similar field.
- Excellent communication skills and the ability to work independently in an international team with several stakeholders.
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