Position: Data Logging & Telemetry Systems Engineer
Working Location: Ha Noi, Hai Phong
Contact to: Tuyen dung Vietsol ()
Position Purpose
Design OR Integration E2E vehicle-side data logging systems, telemetry infrastructure, and web-based Safety Management System (SMS) for Robotaxi fleet operations. Responsible for data collection architecture (vehicle sensors → data logger → cellular/network → cloud), real-time streaming to ROC dashboard, data quality assurance, automated event labeling/annotation, and evidence package compilation for Safety Case validation and regulatory submission.
Job Descriptions:
- Data Logger Hardware Integration: integrate vehicle-side data logging hardware: specification of data logger units (storage, processing power, sensor interfaces), selection of components (industrial-grade recorder, GNSS/IMU modules, CAN interface), ensure redundancy and failsafe (critical data mirrored to backup media).
- Data Logger Firmware Integration: integrate data logger firmware: firmware for onboard data recorder (CAN/LIN logging, sensor timestamping, SD card/SSD management, network communication), ensure
deterministic latency and timestamp accuracy (per ISO 26262), integrate data integrity checks (CRC, checksums). - Data Pipeline Integration: Integrate data pipeline architecture: vehicle → edge (on-vehicle processing: CAN decoding, data cleaning) → cellular/WiFi uplink → cloud plaƞorm (AWS/Azure/GCP) → persistent storage → analytics engine.
- Telemetry Streaming: Integrate telemetry streaming system: integrate real-time vehicle status streaming to ROC dashboard, live KPI metrics (disengagement rate, MRM activations, C&C latency), vehicle location tracking, sensor health status.
- SMS Web Dashboard Development/Integration: Build or integrate web-based Safety Management System (SMS) dashboard: vehicle fleet overview, disengagement/MRM event logs, ODD compliance tracking, Safety Operator performance metrics, automated alerts for safety-critical events, evidence export for regulatory review.
- Auto-Labeling System: Design Or Integrate and implement auto-labeling and annotation system: automated classification of events (normal operation, MRM trigger, disengagement, ODD violation) using vehicle state data; support manual annotation by human reviewers for training data generation.
- Data Quality & Traceability: Ensure data quality and traceability: implement data validation rules, detect and flag corrupted/incomplete logs, maintain immutable audit trail (who accessed what data, when), support regulatory data integrity verification.
- Safety Case Evidence Support: Support Safety Case evidence packaging: organize collected data (logs, video, telemetry, events) into Scenario Evidence and Fleet Evidence packages per ISO 26262, SOTIF, EU UNCE R.185; ensure all evidence is traceable and verifiable.
- System Monitoring & Reliability: Monitor system health: monitor data logger uptime, network connectivity, cloud storage, dashboard availability; troubleshoot data collection gaps, implement failover strategies.
Job Requirements:
- Embedded Systems Experience: Minimum ≥ 3 years of experience in embedded systems, automotive data logging, vehicle telematics, or autonomous vehicle systems development OR integration.
- Data Pipeline Architecture: Hands-on experience integrating data pipeline architectures: vehicle-to-cloud data flow, sensor data integration, edge processing, cloud data management (AWS, Azure, or GCP).
- Automotive Data Standards: Proficiency in automotive data standards: CAN bus, CAN-FD, DBC file format, ISO 14229 (UDS), OBD protocols; ability to decode and validate vehicle messages.
- Software Development or Integration: Strong software development or integration skills: C/C++ for embedded firmware, Python for backend services, JavaScript/React for web dashboard; experience with microservices, APIs, database integration (SQL, NoSQL).
- Safety-Critical Systems Knowledge: Experience with safety-critical systems: understanding of ISO 26262
data logging requirements (determinism, traceability, redundancy, validation), certification levels, and evidence generation. - Cloud & DevOps Integration: Cloud/infrastructure experience: AWS/Azure/GCP, containerization (Docker), CI/CD pipelines, monitoring/logging frameworks (CloudWatch, ELK, Prometheus).
- Education: Bachelor's degree in Computer Science, Electrical Engineering, Embedded Systems, or related field; preference for advanced degree (Master) in related discipline.
Nice to have:
- Prior experience with automotive data logging systems (Kvaser, Vector, National Instruments, Bosch products).
- Familiarity with autonomous vehicle data formats (Apollo Cyber RT, ROS, custom ADS telemetry schemas or any L4's system).
- Experience with video/image data management at scale (storage optimization, streaming, labeling tools).
- Knowledge of cybersecurity for automotive data systems (encryption, secure communication, authentication).
Benefits:
- Good salary (includes base salary, additional salary, housing allowance, meal allowance, etc.)
- 13th month salary + Incentive/performance bonus
- Salary review twice a year
- Lunch monthly support
- Mon-Fri & alternative Saturday working schedule with 44 hours/week.
- 12 annual leave days plus 1 birthday leave
- Health care insurance
- Training & career development program
- Oversea working opportunities
- Have opportunity to work in Electric vehicle development project and testing with system/vehicle integration level.
- Working in international environment with experts around the world
- Opportunities for career advancement to Team Leader, Group Leader, and Manager positions
- Monthly budget for team activities, etc.