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Halter

Data-driven pasture management for dairy farms

Device Performance Engineer

Hardware EngineeringUpdated on Nov 10
Full-timeAuckland, New ZealandNo salary listedIn-person

About the Job

Requirements

  • An engineering science, physics, or similarly quantitative technical background, with a track record of applying it to real, messy, physical-world problems.
  • Strong data analysis skills, including comfort working with large real-world datasets in Python or similar and cleaning, filtering, and validating noisy data before relying on conclusions.
  • Strong communication skills to explain technical findings clearly to engineers across disciplines and align people on actions.
  • Genuine curiosity about how things work and patience to investigate until they are understood.
  • First-principles thinking, reasoning from how systems physically work rather than pattern-matching to typical solutions.
  • Ownership and follow-through, including a desire to turn findings into real fleet improvements.

Responsibilities

  • Analyse collar performance at fleet scale, including power consumption, battery life, GPS, and sensor behaviour across tens of millions of devices in varied real-world conditions.
  • Build a ground-truth understanding of how the product is used on farms and how actual use differs from design assumptions.
  • Work with large real-world datasets, including fleet telemetry, logs, and field data, to identify meaningful signals and distinguish genuine effects from data-quality artefacts.
  • Reason from first principles about the physical limitations of sensors, radios, and batteries to distinguish physics, firmware, and usage-pattern causes of performance gaps.
  • Bring real-world device-performance understanding into the scoping and design of new products and hardware revisions.
  • Communicate findings to firmware, hardware, and product teams, translating technical analysis into actionable and prioritised recommendations.
  • Work with engineering teams to implement improvements, validate them, and confirm they deliver the outcomes indicated by the data.

Desired Qualifications

  • Curiosity about farming, animal welfare, or hardware designed to operate outdoors, unattended, on a live animal.
  • Experience in statistics or applied mathematics.
  • Experience working on optimisation problems, rather than only analysing them externally.

About the Company

Halter

Data-driven pasture management for dairy farms

Halter provides data-driven pasture management for dairy farms. It delivers daily updates on pasture covers, growth rates, and leaf emergence by combining satellite imagery, local weather, biophysical models, grazing data, and seasonal trends. Farmers use the information to decide where and when to graze, optimize fencing and shifting of livestock, and allocate pasture efficiently to boost animal performance. The platform also hosts a community where farmers share experiences and best practices. Halter’s subscription-based service gives farmers ongoing access to the data and tools they need to run their operation more productively and profitably. Goals include helping farmers maximize pasture use and animal productivity, improve resilience to environmental changes, and build a collaborative farming community.

Company size
501-1,000
Company stage
Series E
Total funding
$428M
Headquarters
Auckland, New Zealand
Founded
2016

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