The Automotive Systems Architecture team in Central Technology supports the Automotive Line of Business in a technical capacity by understanding requirements and defining system architectures that address the needs of the automotive market. We also identify areas where Arm IP can be improved to better suit automotive applications.
Join this multidisciplinary team in translating complex technical specifications into clear, analyzable system models! You can expect hands-on work with real specs, real constraints, and real impact on next-gen compute systems.
What you could be doing as a Systems Modeling Engineer:
- Digest specifications across a wide range of standards, IP, and SW/HW requirements and capture them using SysML (requirements, structures, behaviors, parametrics) with traceability to source information.
- Develop systems to test SysML models, explore design options, and analyze multi-constraint trade-offs (e.g., performance, power, area, latency, bandwidth, cost, reliability) that influence architectural choices and partner discussions.
- Build analysis workflows—parameter sweeps, sensitivity/Monte Carlo, optimization—plus automation for ingesting specs and generating reports/dashboards.
- Collaborate with architecture, design, verification, software, and other partner teams, and present results and recommendations clearly.
- Contribute to tooling by employing existing modeling frameworks and prototyping new ones (e.g., adapters, scripts, CI hooks).
We are looking for individuals who:
Hold (or are on track to hold) a University degree or equivalent experience in Systems Engineering, Computer/Electrical Engineering, or Computer Science by September 2026 (Masters and PhD degrees welcome.) Candidates with alternative degrees will also be considered if they have proven experience.
- Coursework or project experience in model-based systems engineering (MBSE) and SysML (v1.x or v2).
- Strong programming skills in Python (data analysis libraries).
- Exposure to hardware/system performance modeling (e.g., traffic generation, workload characterization, queueing/analytic or discrete-event models).
- Ability to read dense technical specs, reason from first principles, and formalize requirements/constraints.
- Proficiency with Git and collaborative engineering practices (code reviews, issues/PRs, basic CI).
Qualities that will help your application stand out:
- Hands-on with Cameo Systems Modeler/MagicDraw, Rhapsody, Enterprise Architect, or similar.
- Experience with trade-off analysis under multiple constraints; sound grasp of performance, throughput, and latency concepts.
- Parametric modeling and constraint solving (e.g., SciPy/NumPy); basic optimization methods.
- Familiarity with Markdown for docs, and lightweight data pipelines (CSV/Parquet, Python notebooks), and C/C++/SystemC.
- Knowledge of SoC architecture basics (compute, memory, interconnects, coherency) and system-level critical metrics (PPA).
Additional Information:
We encourage early applications as we review them on a first come/first served basis.
