AeroVect Logo

AeroVect

Senior System Safety Engineer

Posted 5 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Colorado, USA
Senior level
In-Office or Remote
Hiring Remotely in Colorado, USA
Senior level
Perform system and hardware safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, FMEDA, diagnostic coverage, PMHF, and failure-rate modeling. Derive and trace safety requirements for supervised and driverless autonomy, evaluate sensors, actuators, compute hardware, and power systems, and support safety cases for airport deployment. Collaborate with systems, software, robotics, hardware, and test teams to integrate and verify safety requirements.
The summary above was generated by AI
Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

Working under the close guidance and supervision of the Head of Safety, the Senior Safety Engineer will execute core safety lifecycle tasks across AeroVect’s software and hardware platforms:

  • System Safety Analysis: Perform hazard identification and risk assessments (HARA, FMEA, FTA, STPA) on the autonomous system architecture and vehicle operation concepts.

  • Requirements Derivation: Derive, specify, and trace functional and technical safety requirements (FSRs / TSRs) for both supervised autonomy (safety driver present) and SDO unsupervised autonomy (driverless).

  • Cross-Functional Execution: Collaborate directly with systems, software, robotics, hardware, and test teams to ensure safety requirements are integrated, testable, and verified.

  • Safety Case Support: Assist in building safety case artifacts and verification evidence required for airport commercial deployment.

You Will
  • Perform Quantitative Hardware Safety Analyses, including FMEDA, hardware diagnostic coverage analysis, and Probabilistic Metric for random Hardware Failures (PMHF).

  • Calculate hardware component and system failure rates using standard methodologies (SN 29500, IEC 61709, MIL-HDBK-217F, Telcordia SR-332).

  • Evaluate drive-by-wire compute hardware, sensor suites (Lidar, Radar, Camera), actuator interfaces, and power distribution systems for single-point and latent faults.

  • Derive Hardware Safety Requirements (HSRs) for redundant architectures and fail-operational compute nodes.

You Have
  • 5+ years of hands-on safety engineering experience in autonomous vehicles, automotive (ISO 26262), aerospace (DO-178C/DO-254), or industrial safety (IEC 61508).

  • 5+ years in hardware safety engineering, EE reliability, or failure rate modeling for automotive, aerospace, or industrial robotics.

  • Prior background working with autonomous driving systems or mobile robotics.

  • Proven ability to work under the technical mentorship of a Principal Safety Engineer in a high-velocity agile engineering team.

  • B.S. or M.S. in Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related discipline.

  • Proven mastery of FIT rate modeling, component failure rate calculation methods (SN 29500, IEC 61709, MIL-HDBK-217), and FMEDA workflows.

  • ISO 26262-5 Mastery: Deep knowledge of hardware architectural metrics (SPFM, LFM) and hardware diagnostic strategies.

Similar Jobs

2 Days Ago
In-Office or Remote
District of Columbia, USA
128K-167K Annually
Mid level
128K-167K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and own Finance data models covering ledgers, settlements, transactions, invoicing, fees, and collateral. Reconcile internal and external systems, investigate discrepancies, support month-end close and audits, automate reporting, implement data quality tests, define reusable financial metrics, and create self-service reporting. Partner with Finance, Accounting, data, and platform engineering teams to maintain trusted, documented data systems.
Top Skills: AirflowBigQueryDagsterDatastreamDbtFivetranLightdashLookerMeltanoOmniPythonRedshiftSnowflakeSQL
2 Days Ago
Remote or Hybrid
District of Columbia, USA
128K-167K Annually
Mid level
128K-167K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and maintain scalable batch and streaming data pipelines for payments, ledger, transaction, and blockchain data. Own ingestion from databases, files, APIs, and onchain sources; develop incremental dbt models; orchestrate workflows in Dagster; and implement data quality, freshness, reconciliation, monitoring, deduplication, and late-data handling. Partner with engineering, analytics, data science, and risk teams to support reliable reporting and machine-learning features.
Top Skills: AirbyteAirflowApache BeamBigQueryCdcClickhouseDagsterDataflowDatastreamDbtDebeziumEvmFivetranFlinkGCPGcsKafkaMeltanoPub/SubPythonRustSftpSnowflakeSolanaSQL
2 Days Ago
In-Office or Remote
District of Columbia, USA
136K-170K Annually
Mid level
136K-170K Annually
Mid level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3 • Infrastructure as a Service (IaaS)
Build and operate Rain’s scalable batch and streaming data platform, including BigQuery, streaming infrastructure, orchestration, BI, ML capabilities, governance, access controls, and infrastructure as code. Ensure reliable, secure, compliant, and cost-efficient data processing through monitoring, schema management, lineage, CI/CD, incident response, and automation. Support fraud and risk models with feature pipelines and advise engineering teams on event and CDC design.
Top Skills: AirflowAWSAzureBigQueryCi/CdClickhouseDagsterDataflowDatastreamDebeziumFlinkGCPIamKafkaLightdashPub/SubPythonSnowflakeSQLTerraformVertex Ai

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account