Software Engineer, new product line
VALIS (Valis Insights)
VALIS builds data products for scrap metal recyclers that image, weigh, and classify scrap and provide quality analytics to improve plant operations. This role will build a production tracking and analytics platform extended from the existing product, including modeling physical processes, building agentic analytics features, and working directly with customers.
What you’ll do
- Modeling a complex physical process
- Build agentic features to analyze production and quality data, surface trends, flag anomalies, and notify the right people
- Work directly with customers via regular calls with operators and plant managers and a few site visits per year
- Ideate, build, deploy, and own the product end-to-end
What they’re looking for
- 3+ years of experience
- Strong data modeling fundamentals
- Enjoy owning ambiguous problems end to end
- Recycling, ERP/MES, or physical ops software experience is a plus
- US work authorization required
Skills
- React/TypeScript: React, TypeScript
- C#/.NET: C#, .NET
- PostgreSQL: PostgreSQL
- AWS: AWS
- Data modeling: data modeling, data modeling fundamentals
The post
VALIS (Valis Insights) | Software Engineer, new product line | REMOTE (US, East Coast hours) | Full-time | $125k-$155k + equity
I'm Caleb, co-founder/CTO. VALIS builds data products for scrap metal recyclers. Our product images, weighs, and classifies scrap metal, and our platform turns that into actionable quality analytics to improve physical ops at plants across the US. Recycled metal takes a fraction of the energy of mined metal, and better data means more of it gets recovered.
We're hiring an engineer to build our next product line: a production tracking and analytics platform for recycling plants, extended from our existing product. We're a small team (<10 ppl). What you'd work on (ideate, build, deploy, own):
- Modeling a complex (and intellectually stimulating) physical process
- Agentic features that dig through production and quality data, surface trends, flag anomalies, and notify the right people
- Working directly with customers: regular calls with operators and plant managers, plus a few site visits a year
You should have 3+ YoE, strong data modeling fundamentals, and enjoy owning ambiguous problems end to end. We care more about how you think than what exactly you've used. Recycling, ERP/MES, or physical ops software experience is a plus.
Our stack: React/TypeScript, C#/.NET, PostgreSQL, AWS.
US work authorization required; no sponsorship.
Apply (read the whole JD, mention HackerNews): https://apply.workable.com/valis-insights-1/j/9D0C64C055 Questions: caleb[dot]ralphs[at]valisinsights[dot]com