Software Engineering Internships 2026

Posted 8 Hours Ago
Be an Early Applicant
Auckland, NZL
In-Office
Internship
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
Halter is on a mission to unlock more productive and sustainable farming and ranching.
The Role
Halter seeks software engineering interns to build mobile and web applications, develop predictive models, and enhance internal infrastructure for sustainable farming solutions.
Summary Generated by Built In
About Halter

At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.

We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund, Bessemer Venture Partners, BOND, DCVC, Blackbird, Promus Ventures, Rocket Lab’s Peter Beck and Icehouse ventures.

To find out more, visit our LinkedIn & Instagram.

We're looking for interns across our Software, Platform, Machine Learning and Comms/Fleet Engineering teams at Halter! These aren't typical internships - you'll be a fully-fledged member of the team, given real ownership and responsibility from day one. Halter is one system: hardware, software, and AI, running live on real farms. Our engineering teams own different slices of that system, but the problems all rhyme: turning thousands of collars and billions of sensor events into a single, calm decision in a farmer's hand. You could be building the mobile and web experiences farmers rely on at 5am in a paddock, designing platforms and pipelines that scale at pace, or developing cutting-edge ML models that predict pasture growth and animal health. Every team here ships software that has to work in a paddock, not just a browser tab.

This internship will run from mid-to-late November 2026 and end in February 2027. It will be onsite & full-time 40 hours a week over this period.

Applications will close Friday 10th of July 2026.

We have 4 key teams we're hiring for:

  1. Software Engineering - building the farmer-facing apps (mobile/web) and the backend services processing billions of real-time collar events

  2. Platform Engineering - internal infrastructure, data ingestion, AWS/Terraform, CI/CD, observability, and AI tooling that helps all engineers move faster

  3. Machine Learning (Predictive Systems) - pasture growth models, animal health & behaviour, heat event detection, grazing recommendations, and the rich farm datasets that power it all

  4. Communications & Fleet Engineering - the connectivity + internal tooling that keep the product reliable in the real world: how collars communicate with the backend, on-farm comms health, and the internal tools used to live‑view and manage the fleet

What your day could look like

Software Engineering (Frontend, Backend, or Full Stack):

  • Building and shipping features that solve real world problems end-to-end - from the farmer-facing mobile and web surfaces through to the services and infrastructure behind them.

  • Writing clean, performant code across modern frontend frameworks (React, React Native) and backend services (Node.js, Kotlin, Go).

  • Working on distributed, event-driven systems that process data from our fleet of collars across NZ, Australia, and the US; where latency, reliability, and offline behaviour are important considerations.

  • Contributing to code reviews, design conversations, and context-sharing with your team.

Platform Engineering:

  • Building internal tooling and infrastructure that gives every other engineer at Halter leverage.

  • Working with AWS, Terraform, CI/CD pipelines, and observability tooling at scale.

  • Supporting the reliability and performance of our systems end-to-end as we scale.

  • Exploring and implementing AI tooling that reshapes how engineers and others work.

Machine Learning:

  • Developing predictive models of pasture growth, animal health, behaviour, and farm operations.

  • Development of end-to-end ML pipelines: from dataset construction and model training through to deployment and monitoring.

  • Conducting literature reviews to stay at the cutting edge of both machine learning and agricultural science.

  • Working with rich, novel datasets to build systems that directly improve farming outcomes.

Communications & Fleet Engineering:

  • Comms: building the connectivity and communications systems that enable the product to work reliably in the real world - including towers/on‑farm equipment setup, comms health on farm, the backend messaging layer, and the pathways different product functions use to talk to the collar.

  • Fleet Engineering: building internal tooling to live‑view and manage the fleet - with different views for finance and monitoring - plus tooling that supports tracking firmware, Guidance, and Behaviour.

Who are we looking for?
  • Someone with the right attitude - deeply curious, driven to learn, and energised by what we're building at Halter.

  • A student passionate about their field and actively engaged in relevant extracurricular activities (Computer Science, Software Engineering, Data Science, Mathematics, or related degrees).

  • Someone hungry to be stretched -who wants to start doing the best work of their life, right now.

  • For Software & Platform: someone who thinks like a product engineer, cares about the customer experience, and is comfortable in fast-moving, ambiguous environments.

  • For Machine Learning: a strong background in applying ML to real-world problems, fluency in Python, and a passion for predictive systems.

  • Someone comfortable leveraging AI tools and agents to accelerate their own output.

An intern at Halter is a fully-fledged member of the team - you'll be given opportunity, ownership, and responsibility like everyone else. If this sounds a little intense, it is. You'll be working alongside an epic team of the best and brightest, having real impact and learning quickly. That's Halter

Our office-first approach

Our office-first approach Being office-first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. We're office first, not office only. This means working from the office every day is our default setting, but we flex when needed. Your growth, learning, and impact are truly unlimited here, and a big part of that comes from being together — solving problems, innovating, building context, and constantly learning from each other. We have a state-of-the-art, dog-friendly office in the heart of Auckland City. Delicious snacks and drinks are readily available.

Join our team

Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!

If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!

Please also feel free to check out the careers page for more information on working at Halter and don't forget to follow us on LinkedIn & Instagram.

Skills Required

  • Curious and driven to learn
  • Studying Computer Science, Software Engineering, Data Science, Mathematics, or related fields
  • Passion for real-world applications of technology
  • Strong background in applying Machine Learning

What the Team is Saying

Nicola

Halter Compensation & Benefits Highlights

  • Leave & Time Off Breadth Unlimited paid annual leave and dedicated wellness days are explicitly included, with examples of extended time off being taken. Policies are described as starting from day one.
  • Parental & Family Support Generous paid parental leave is provided, such as six months for primary caregivers in some locations and defined paid leave for secondary caregivers. U.S. materials also reference 16 weeks for birthing parents and 8 weeks for non-birthing parents.
  • Equity Value & Accessibility Equity via ESOP is standard for all permanent employees, underscoring broad ownership. Role descriptions consistently include equity as a core component of total compensation.

Halter Insights

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The Company
HQ: Boulder, Colorado
350 Employees
Year Founded: 2016

What We Do

We bridge deep tech into farming and ranching. Halter enables farmers and ranchers to remotely shift, virtually fence and proactively monitor their cows’ health and behavior. Can you imagine watching 500 cows or cattle walk calmly towards the milking shed or their next break? No quad bikes, no dogs, no fences. Just a herd of cows walking at their own pace. People say it looks like magic. Our customers are revolutionizing farming and ranching with Halter. It's changing lives and transforming an industry.

Why Work With Us

There's something special about being surrounded by spectacular people making real change in the world. At Halter, you'll do your best work, with the best people and have the biggest impact in a culture grounded in performance.

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Halter Offices

OnSite Workspace

Our field teams are often on the road however, we believe that in-person interaction is key to building a high-performing culture so there will be times when we would like our team to meet in person.

Typical time on-site: None
HQBoulder, Colorado
NZ
Learn more

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