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Engineering at Instrumental

Why Instrumental Engineering?

The Instrumental engineering team builds the platform deployed as critical manufacturing infrastructure by some of the world’s largest brands. We thrive on deep, cross-functional collaboration, customer, and rapid, iterative deployment of solutions that help our customers solve some of their most critical manufacturing challenges.

What Makes Us Unique

Building Community

At Instrumental, we lead with our shared  values to drive our key decisions. Those values require us to be deeply empathetic, highly collaborative, and have a deep self-awareness and honesty over our work. We believe that trust is the foundation on which our company and team culture is built. That translates into a highly inclusive culture where we listen first before making decisions, and where each team member feels valued and empowered to contribute.

Growth Opportunities

At Instrumental, we're seeking talented developers who are passionate about innovation and bring a unique perspective to problem-solving. As a member of the Instrumental engineering team, you'll collaborate in a fast-paced, cross-functional environment. You'll play a key role in shaping the direction of our products and technology, with ample opportunities to advance your skills and career through our 8-week “Workstream” cadence. If you're ready to take your software development expertise to new heights, join us at Instrumental and realize your full potential.

Tech Stack

Instrumental engineers are exposed to a wide range of technologies that map directly to the breadth of our problem space. Our edge compute platform uses a customized version of Linux deployed as an IoT device. On the front-end, you can expect to find Angular as well as our home grown front end framework. On the backend, we’re a scala shop using Postgres and ElasticSearch for data persistence.  On the ML side, we work with a number of in-house built ML models and use SageMaker to build and train models.

Our Engineering Team

Webapp Team

Data is at the heart of our platform. The Webapp team works at the intersection of our ML and Platform teams and is responsible for integrating the latest ML, Big Data, and visualization into a coherent set of debugging and problem solving tools for our customers, all the while ensuring a delightful experience for our customers.

Edge Devices Team

Our Edge Device team is responsible for building and deploying our fleet of IoT devices used by our customers on their manufacturing lines. The Edge Device team works closely with our ML and Webapp teams to deliver data collected on the edge as the latest application features.

Site Reliability Team

Our SRE team works across the globe to support our on-prem and cloud-based infrastructure. The SRE team leads site reliability, computing, networking, and hardware operations across the 3 continents where we’re deployed.

Platform Team

At Instrumental, we're pushing the limits of what's possible with our cutting-edge platform. Built on a Service-Oriented Architecture (SOA), our Platform team works on the backbone of our cloud-based infrastructure, building and maintaining the core platform that drives our current and future scalability.

Machine Learning Team

Instrumental’s Machine Learning team creates the core AI that drives the product intelligence for our customers. As part of the ML team, you’ll get to split your time between R&D and working cross-functionally to integrate the latest research into our core product.

Once I had the chance to meet and speak with my interviewers about our product, I really started to see the power and simplicity of our product. I also had the opportunity to meet and interact with a number of Instrumental’s engineers. I quickly saw that I was going to be pushed to be a better software engineer by everyone here and that collaboration was a big part of Instrumental’s process.

Meet Jonathan Yee!

Jonathan Yee

Frontend Engineer

It’s fulfilling to have a career where there isn’t too much red tape or management telling me what I can and cannot do. If I see a potential solution to a problem, I can plan it, and start developing it. It’s great to finish a project and see the positive impact in production.

Zack Anselm

Zack Anselm

Backend Engineer

Machine Learning (ML) is fascinating to me, and having worked in this field for a few years now, the magic has still not worn off. Being able to bring ML solutions to real world problems and creating true value is the best part of my job. Getting to do this with intelligent, driven and kind people is just the cherry on top.

Prerna Dhareshwar

Prerna Dhareshwar

Machine Learning Engineer

I find the manufacturing industry to be an attractive field, as it is an area I’m interested in gaining experience in. Furthermore, I believe that Instrumental’s mission of reducing waste in the manufacturing process is admirable, and the company culture aligns well with my own values and preferences.

Sharon Sun

Sharon Sun

Backend Engineer

I get to work on extremely high impact and core projects that shape the company. Since I don’t really work on features I get the privilege of rolling out much longer term changes that either improve the company’s health or unlock new markets for our GTM teams to attack.

Brian Torres

Brian Torres

Site Reliability Engineer

I also like to see how our product completely changes the process for our customers and how things that would take hours now take minutes. It’s awesome to see how the product you built helps people to optimize their processes.

Rustem Feyzkhanov

Rustem Feyzkhanov

Machine Learning Engineer