Software Engineer, AV Logging and Observability (AI)

Location: Hybrid in Sunnyvale, California; Warren, Michigan; or Seattle, Washington. The selected candidate is expected to report to a specific location at least three times a week. The role is subject to U.S. export control restrictions and requires the candidate to be a U.S. Person.

Salary: $128,000–$189,100 per year, plus bonus potential.

Company

hirify.global develops automotive technologies and autonomous-driving capabilities aimed at improving safety, emissions, and mobility.

What you will do

• Own initiatives improving the reliability of vehicle-to-cloud data recording and telemetry workflows.
• Develop Python software for telemetry processing, data validation, metrics, reliability automation, and operational tooling.
• Build components that capture, filter, validate, package, store, and deliver vehicle and sensor data.
• Define data-quality checks, dashboards, service-level indicators, and operational health measures.
• Debug complex issues across cloud ingestion, storage, distributed processing, monitoring, and backend integrations.
• Apply AI and LLMs to issue discovery, failure classification, root-cause analysis, knowledge retrieval, and workflow automation.

Requirements

• Bachelor’s degree in a relevant technical field or equivalent practical experience.
• Production-quality Python experience with data workflows or reliability projects.
• Experience with embedded software, robotics, automotive systems, telemetry, data pipelines, cloud services, backend integrations, monitoring, or reliability automation.
• Strong knowledge of data structures, algorithms, operating systems, distributed systems, networking, and software design.
• Ability to own technical requirements, plans, milestones, risks, and delivery across a project or workstream.
• Must be a U.S. Person due to export control restrictions.

Nice to have

• Experience with Kubernetes, Google Cloud services, BigQuery, cloud storage, or distributed data-processing systems.
• Experience with C++, IPC, messaging, networking, serialization, SQL, APIs, data contracts, or event-driven workflows.
• Experience applying AI or LLMs to incident triage, data analysis, workflow automation, or engineering productivity.
• Experience with autonomous driving, distributed systems, data infrastructure, AI/ML infrastructure, or production operations.
• Experience mentoring engineers, leading design reviews, or driving cross-team technical initiatives.

Culture & Benefits

• Hybrid work with regular in-office attendance.
• Health, dental, and vision coverage, plus HSA and FSA options.
• Retirement savings plan, life insurance, sickness and accident benefits, and paid vacation and holidays.
• Tuition assistance, employee assistance programs, and GM vehicle discounts.
• Relocation benefits are available for candidates who qualify under company policy.

Hiring process

• Role-related assessments and pre-employment screening may be required.