Embedded Software Engineer | ADAS | Hybrid in Appleton

Energy Jobline

Oshkosh, WI, United States

9 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.energyjobline.com

Tech stack

Testing (Software) Agile Methodology Computer Vision C++ (Programming Language) CAN Bus Capability Maturity Model Integration Computer Networks Embedded Software Ethernet Software Architecture Software Safety Software Engineering

+6 more

Software Requirements Analysis Structured Text Systems Modeling Language Systems Integration Information Technology Lidar

Job description

Develop detailed system requirements and overall software architecture.
Design, develop, and test embedded software applications and control algorithms.
Create comprehensive test plans to validate system safety, reliability, and performance.
Execute testing activities across simulation environments and real-world vehicle applications.
Participate in software development, peer reviews, and continuous improvement activities.
Follow CMMI Level 3 procedures and software safety development processes.
Evaluate system designs for functionality, safety, reliability, and performance.

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related technical discipline plus 5+ years of relevant experience; OR
Master’s degree in Engineering, Computer Science, or a related field plus 2+ years of relevant experience.
5+ years of experience programming embedded controllers using: *
C/C++
PLC programming such as Structured Text
5+ years of software testing experience, preferably within vehicle systems environments.
Experience with network communications technologies, including: *
CAN Bus
Ethernet
Vehicle-to-Vehicle (V2V) communications, * Experience developing software for vehicle control systems, including on-road or off-highway vehicles.
Hands-on experience with autonomous or self-driving vehicle technologies.
Experience integrating driver warning and driver assistance systems.
Knowledge of Agile software development methodologies.
Experience using SysML for system modeling and architecture documentation.
Experience with sensors and perception systems, including: *
Radar
LiDAR
Computer Vision
UNIX/Linux programming experience.
Strong software system design capabilities.