Systems Engineer 100% Remote
They are not looking for Embedded Engineers. They need candidates with a strong understanding of software systems engineering.
During the interview, candidates will be asked to draw or sketch a system architecture while the interviewers observe. They will then be asked to explain their design decisions, including why they structured the system the way they did, how the components communicate with one another, and the trade-offs they considered.
Candidates should also be prepared to decompose the overall system into subsystems, define requirements, and explain how those requirements flow through the system design.
This is a client facing position, therefore must have excellent communication.
Job Description of Service
We are seeking a detail-oriented and proactive individual to join the Arene Applied Engineering team as a contingent worker.
Position: System Engineer
- Collaborate with systems engineering, product, and global partners to design and implement software solutions for a service platform (Tools and SDK), ensuring reliability, scalability, and high performance.
- Develop, integrate, and maintain system-level software components with a strong focus on C++ and embedded firmware for real-time and Linux-based automotive systems.
- Implement and enhance middleware components, inter-process communication frameworks, and scheduling systems to support hardware-agnostic, update-friendly vehicle services across multiple in-vehicle domains.
- Drive and support the development of system design specifications, including state machines and sequence diagrams, and create testable system requirements.
- Identify, troubleshoot, and resolve complex software and system-level issues in collaboration with quality and integration engineers.
Minimum Qualifications
- Experience creating detailed system and software-level requirements for complex products.
- Experience with MBSE and associated tools (CATIA and StrictDoc required) for creating and documenting system and software architectures using SysML and UML.
- Experience with safety-critical or fault-tolerant automotive software (ISO 26262, AUTOSAR).
- Strong understanding of vehicle networking, including ADAS and cockpit architecture, ECU architecture, and validation of distributed vehicle software features.
- Strong Python and C++ skills with a heavy emphasis on Python
- Exposure to cloud platforms (AWS, Azure, Google Cloud Platform), containerization, and DevOps tooling.
- Proficiency with modern build systems and CI/CD environments (e.g., Bazel, GitHub/GitLab) and familiarity with software production pipelines for software delivery and integration.
Preferred Qualifications
- Experience leading software projects and/or small teams.
- Experience with embedded software in robotics, automotive, or related industries.
- Experience creating test, verification, or validation plans and methodologies.
- Knowledge of automotive
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