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General Matter

Software Engineer, Data Platform

General Matter · Los Angeles, CA

Posted 14 days ago · $125,000–$220,000

or apply directly on General Matter's site. We never take the application ourselves.

Is this posting real?

This role has been open
14 days
General Matter's roles stay open a median of 43 days
Reposted
No
Salary listed
Yes
99% of General Matter's roles list one
Ghost-job risk at General Matter
high
65 stale, 1 reposted of 133 open
Hiring momentum
151 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from General Matter's own greenhouse board since 2026-08-03. Full hiring picture for General Matter.

About this role

The Software Engineer, Data Platform role involves designing and implementing data acquisition, storage, and streaming systems for test stands and production environments. The engineer will build reliable, scalable data pipelines for high-throughput sensor telemetry and ensure operational reliability of mission-critical data infrastructure. Collaboration with various teams is essential to support analytics and visualization efforts.

Our read on this posting3.8out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of General Matter as an employer.

What you need

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field
  • 5+ years of experience building data pipelines, streaming systems, or backend data infrastructure
  • Strong, production-level experience in Python and SQL
  • Hands-on experience with high-throughput data ingestion and time-series or historian storage
  • Strong understanding of distributed systems and data reliability
  • Experience with high-reliability, on-premise, 24/7 deployments in safety-critical environments

Nice to have

  • Experience with time-series databases (e.g., InfluxDB, TimescaleDB)
  • Experience with in-memory data stores (e.g., Redis)
  • Experience with streaming and pub/sub middleware (e.g., MQTT, DDS, OPC-UA, Kafka)
  • Background in observability, infrastructure-as-code, and feeding visualization layers (e.g., Grafana)
  • Background in high-reliability or data-intensive environments (e.g., industrial automation, aerospace, energy, finance/trading, telecom, scientific research)

What you get

  • Base salary range of $125,000–$220,000 annually
  • Eligibility for long-term incentives in the form of stock options
  • Access to medical, vision & dental coverage
  • Access to a 401(k) retirement plan

Worth weighing

  • No remote work mentioned, role may require extended hours and weekends
  • Focus on high-reliability and safety-critical environments may imply a demanding work culture

Summarised from General Matter's posting. Read the full original.

Listed by General Matter on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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