Senior Software Engineer, ML Infrastructure
Cupertinoonsitesenior
via Greenhouse
About this role
The Role
We're looking for a Senior Software Engineer to join our ML Infrastructure team and support the foundational infrastructure that powers Gridmatic. Our platform challenges are shaped by the nature of energy markets: forecasts and trading decisions run on tight schedules, battery dispatch commands must execute reliably in real time, and ML models need to train and deploy continuously as new data arrives.
What You'll Do
Design and build the compute platform that runs Gridmatic's production services, batch jobs, and ML training workloads
Help own our production workflow orchestration end to end, from the cluster and node pools it runs on to the abstractions our teams build on top of it…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, java, go, rust, c++…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Cupertino. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonjavagorustc++awsazuregcpgoogle cloudiamkubernetesterraformgrafanaairflowteams
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