Safety Software Engineer

Algorized; Schweiz; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Algorized seeks a Safety Software Engineer to architect the safety envelope around people-sensing systems for stationary and mobile platforms in industrial and automotive applications. You will work on PLd and SIL 2 rated software, and collaborate across hardware, ML, and algorithms teams to define safety strategy.

The role requires 5+ years in software development with safety experience, MISRA-C, and embedded safety protocols.

Qualifikationen

• MSc in Computer Science, Electrical/Electronics Engineering, or related field.
• 5+ years of professional software development, including 2-3+ years on functional safety systems (ISO 13849, ISO 13855 and IEC 61508-3, or equivalent).
• Strong C/C++ in safety-critical or embedded environments, with MISRA-C training or experience.
• Hands-on experience with safety-rated MCUs/controllers and safety I/O integration.

Aufgaben

• Design and maintain PLd and SIL 2 safety-rated software: watchdog supervision, plausibility checks, diagnostics, and safe-state logic.
• Architect and implement the certified safety envelope for people-sensing software on the application and system level.
• Develop safety applications following IEC/ISO standards for industrial and automotive.
• Design integration path with I/O, EtherCAT, CIP Safety or Profinet safety protocols.
• Own safety documentation: FMEA, DC analysis, V&V test plans, diagnostic coverage analysis.
• Support integration and maintenance of safety systems including customer-site travel.

Kenntnisse

C/C++ safety-critical

MISRA-C

Embedded RTOS

Embedded Linux

ARM MCU

Ausbildung

MSc in Computer Science or Electrical/Electronics Engineering

Jobbeschreibung

Algorized is a VC-funded Silicon Valley deep-tech company with Swiss roots building edge-AI models that give robots real-time human awareness using existing wireless sensors - enabling safer human-machine co-presence.

We're looking for a Safety Software Engineer passionate about robotics and functional safety, to help architect the safety envelope around people-sensing systems for stationary and mobile platforms in the industrial and automotive applications under compliant with PLd and SIL 2 rating.

LOCATION

EMPLOYMENT TYPE

Full Time

Responsibilities

Design and maintain PLd and SIL 2 safety-rated software: watchdog supervision, plausibility checks, diagnostics, and safe-state logic

Architect and implement the certified safety envelope for people-sensing software on the application and system level

Develop safety applications following related IEC / ISO standards for industrial and automotive

Design integration path with I/O, EtherCAT, CIP Safety (EthernetIP) or ProfiSAFE (Profinet) protocols

Own safety documentation: requirements specs, architecture docs, FMEA, diagnostic coverage analysis, V&V test plans

Support integration, and maintenance of safety systems, including customer-site travelCollaborate with algorithms team, software engineers and product teams to define the safety strategy

Qualifications

MSc in Computer Science, Electrical/Electronics Engineering, or related field

5+ years professional software development, including 2-3+ years on functional safety systems (ISO 13849, ISO 13855 and IEC 61508-3, or equivalent)

Strong C/C++ in safety-critical or embedded environments, with working knowledge of MISRA-C

Hands-on experience with safety-rated MCUs/controllers

Practical knowledge of industrial safety fieldbus protocols and safe I/O integration with robot/PLC controllers

Experience producing safety documentation (FMEA, DC analysis, V&V test plans)

Familiarity with embedded/edge environments (ARM, Linux, RTOS) and QM-to-certified-safety integration patterns

Comfortable with on-site installation, commissioning, and customer-site travel

Strong communication skills across software, hardware, and ML teams

Experience integrating safety systems with industrial robot controllers

Python for tooling, test automation, or ML pipeline integration

Familiarity with edge-AI SoCs / GPU-based compute platforms

Embedded RTOS experience

Prior involvement in a formal safety certification process