Software Engineer .NET (AI/ML)

Position Title – Software Engineer (.NET and/or AI/ML)

Location – Cambridge

Estimated Contract Length runs until March 31, 2026 with high likelihood of extension

This is considered an on-site role (80%), collaborating with users on the production floor. We are currently unable to consider candidates who desire/require 100% remote work.

Description

Our client is looking for an exceptional self driven problem solver to join the Manufacturing Digital Transformation – Production Core Development Team and work on an exciting new product as part of their Digital Transformation Journey.

This role is backend-focused with .NET as a core foundation, while also incorporating AI and Machine Learning–driven use cases. The team is open to candidates who are strong in either .NET or AI/ML, with the expectation that the other area can be learned on the job. As a software engineer consultant, you will be a key contributor in creating and scaling new solutions used across manufacturing environments. You will work closely with end users on the production floor to understand real-world processes and translate them into technical solutions. You will also participate as part of a core SCRUM team.

The work is highly hands-on and includes early-stage proof-of-concepts, experimental development, and AI-driven initiatives such as predicting robot failure in industrial environments.

What This Role Offers

• Opportunity to work on early-stage proof-of-concepts
• Exposure to AI/ML in a real manufacturing environment
• Work on projects tied to robotics and predictive failure use cases
• Hands-on, high-impact work with real operational visibility

Technical Profile

We have 4 fundamental skill gaps below we need to fill with candidates who can demonstrate strong tech leadership and bring years of professional experience.

Expert knowledge in at least 2 of the following and strong understanding in the remaining:

• .NET 6+ APIs
• SPA web development (Angular)
• Containers (Docker)
• Developing multi-threaded and concurrent applications
• Experience training or integrating software with Machine Learning tools

AI / Machine Learning Context (Nice to Have)

• Exposure to machine learning concepts, neural networks, or model training
• Experience building, training, or experimenting with models (not just using tools)
• Experience working with datasets, including preparation and structuring
• Exposure to concepts such as LSTM or similar models

Working experience in most of the following

• .NET MAUI or Xamarin Cross Platform Mobile Development
• Socket programming
• Asynchronous applications
• Implementing design patterns and software architectures
• Linux runtime environment
• System Design
• Computer Networks
• Caches (Redis, Memcached)
• PostgreSQL
• Event Driven Architecture
• Interfacing with industrial tools using BLE, Serial, USB, MQTT
• OAuth2, OIDC
• Message Queues (MQTT, Kafka, RabbitMQ, etc.)

Nice to Have Technical Skills

• Software build, deployment, and maintenance using DevOps tools
• Industrial protocols (OPC, PLC, Modbus)
• Operating systems (Windows, RHEL)
• DevOps (Terraform, Ansible, Jenkins)
• Kubernetes cluster administration
• SQL Server
• .NET Framework
• AGV systems

Role Profile

This role will require candidates to take concepts directly from end users and process them through Agile methodology, then implement them in a mission critical industrial environment. Development in this team often involves experimentation, rapid prototyping, and iterating on ideas, including discarding approaches that do not work. A strong problem-solving mindset and ability to navigate ambiguity are critical. This team supports an enterprise fleet management platform that integrates with a wide range of industrial equipment and mobile robots.

Responsibilities

• System design
• Implementation
• Integration
• System support and maintenance
• After-hours support rotation
• Deployments and occasional weekend support

Required Professional Skills

• Ability to work both autonomously and in a team environment
• Strong problem-solving and decision-making skills
• Ability to manage multiple priorities and work with stakeholders
• Ability to write clear and organized technical documentation
• Ability to take requirements and deliver features end-to-end
• Strong communication and interpersonal skills
• Willingness to learn and adapt to new technologies
• Willingness to write unit tests and perform QA
• Must have capability and willingness to work in Woodstock if required (primary location is Cambridge)
• Ability to travel to the USA if required (less than 2 weeks per year)

Education Requirement

Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or related field