Product Support Engineer: End-to-End Debugging & Impact

Nominal; New York (NY); On-site; USD 94,000 - 140,000; Full time

Benefits offered by this job

100% coverage of medical, dental, and-

Unlimited PTO and sick leave

Free lunch, snacks, and coffee

Professional Development Stipend

In-office hardware lab with a $250项目刺

Annual company retreat

Job summary

Nominal in New York seeks a Senior Support Engineer to own complex technical problems end-to-end, from investigation to resolution. You’ll work closely with engineers and customers, debug real systems, and translate issues into product improvements.

Build a scalable knowledge base, contribute to AI-assisted workflows, and ensure fast, safe outcomes for high-stakes hardware projects. You will engage with logs, APIs, databases, and code, leveraging SQL, Python, and observability tools to diagnose

Qualifications

• Strong API familiarity and backend data access.
• Proficient in SQL and Python with data analysis experience.
• Experience debugging complex hardware/software systems.
• Ability to translate customer issues into actionable tech tasks.

Responsibilities

• Own technical problems end-to-end from investigation to resolution.
• Work directly with engineers to understand usage and troubleshoot issues.
• Debug production systems across logs, APIs, databases, and code.
• Partner with product and engineering to prioritize fixes and close gaps.
• Turn support insights into product improvements and documentation.
• Build knowledge base, troubleshooting guides, and internal tools.
• Leverage AI to accelerate debugging and automate workflows.
• Own high-impact moments when blockers occur and drive resolution.

Skills

APIs

SQL

Python

Data analysis

Hardware awareness

Customer empathy

Debugging

Product thinking

Tools

Datadog

GitHub

LabVIEW

MATLAB

MCAP

HDF5

Pandas

Job description

Nominal in New York seeks a Senior Support Engineer to own complex technical problems end-to-end, from investigation to resolution. You’ll work closely with engineers and customers, debug real systems, and translate issues into product improvements.

Build a scalable knowledge base, contribute to AI-assisted workflows, and ensure fast, safe outcomes for high-stakes hardware projects. You will engage with logs, APIs, databases, and code, leveraging SQL, Python, and observability tools to diagnose