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13 дней назад

Software Engineering Manager (Autonomous Vehicle Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Software Engineering Manager (Autonomous Vehicle Data) (Distributed Systems/Cloud Infrastructure): Leads the development of petabyte-scale autonomous vehicle telemetry pipelines, storage backbones, and data services with an accent on distributed systems, cloud architecture, and operational reliability. Focus on designing batch and streaming platforms, optimizing compute and storage costs, and building observability and incident-management practices for perception, planning, ML training, safety metrics, and simulation.

Location: Hybrid in Austin, Texas or Sunnyvale, California; expected to report to the assigned location at least 3 times a week or at another frequency set by the manager.

Company

hirify.global develops automotive technologies focused on zero crashes, zero emissions, and zero congestion.

What you will do

  • Lead the AV Data Processing and Services team building petabyte-scale telemetry pipelines, storage backbones, and platform services.
  • Contribute directly to technical design, implementation, and delivery as a player-coach while mentoring engineers.
  • Recruit, mentor, and grow software and data engineering teams while promoting code quality, ownership, and engineering excellence.
  • Own the vision and architectural roadmap for batch inference processing tools and streaming services supporting replay and simulation.
  • Optimize cloud compute and storage across AWS, Azure, or GCP, including S3 tiering and distributed caches, balancing query performance and cost.
  • Establish SLAs, monitoring, data lineage, automated testing, incident management, and root-cause analysis for mission-critical data services.

Requirements

  • BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field, or equivalent real-world experience.
  • 8+ years of professional software engineering experience in distributed systems, big data platforms, or cloud infrastructure, including 2+ years of formal engineering leadership.
  • Experience designing, operating, and scaling petabyte-scale distributed data pipelines and storage systems using technologies such as Apache Spark, Beam, Ray, Flink, Kafka, Iceberg, Delta Lake, and/or Presto/Trino.
  • Expert-level proficiency in C++, Rust, Go, or Python, with experience designing and implementing robust distributed systems.
  • Experience deploying and managing services in at least one major public cloud provider—Azure, GCP, or AWS—using automation and observability for operational excellence.
  • Experience translating complex, ambiguous cross-functional requirements into technical roadmaps and reliable software deliverables.
  • Must not require GM immigration sponsorship now or in the future, including H-1B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support.

Nice to have

  • Experience implementing data platform services such as catalog, indexing, planning, pruning, and optimization paths in a petabyte-scale environment.
  • Passion for self-driving technology and its potential impact.
  • Comfort delivering in a polyglot programming environment.
  • Experience delivering data-intensive distributed compute architectures.

Culture & Benefits

  • Hybrid work with regular in-person attendance at the assigned location.
  • Relocation benefits are available for candidates who qualify under company policy.
  • Employee well-being and total rewards benefits are provided from day one.
  • Inclusive workplace focused on belonging, equal opportunity, and professional development.

Hiring process

  • Applicants may be required to complete role-related assessments and pre-employment screening.

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