Rodeo
Get started

Zero Point Motion

Inertial Sensor Fusion Engineer

Bristol
Posted 26 days ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

Zero Point Motion is building a fundamentally new class of inertial sensors.

This role exists to bridge inertial hardware and navigation software in the real world - not by masking hardware limitations with increasingly complex algorithms, but by using mathematics, code, and physical testing to make the hardware itself better.

If you believe great inertial hardware should simplify sensor fusion, not require endless compensation, this role is for you.

The Role

As an Inertial Sensor Fusion Engineer, you work hands-on with inertial sensors, real motion, and real data.

You Will

  • understand inertial behaviour in practice,
  • identify where hardware limits drive software complexity,
  • guide the development of sensors that are easier to calibrate, integrate, and deploy.

This is not a purely software role. You will be in the lab, not just analysing logs.

What You’ll Do

Sensor fusion & navigation

  • Work with inertial sensors inside real navigation and sensor fusion stacks.
  • Apply concepts from inertial navigation, SLAM, state estimation, and filtering (EKF / UKF).
  • Develop intuition for what defines a high-quality inertial sensor, including noise, bias, bandwidth, dynamic range, latency, and synchronisation.

Hands-on testing & calibration

  • Perform inertial testing and calibration using industry-standard equipment (e.g. rate tables, shakers, multi-axis platforms).
  • Apply and refine calibration procedures covering bias, scale factor, misalignment, temperature effects, and dynamics.
  • Understand how calibration assumptions affect downstream fusion performance.

Mathematics, data & analysis

  • Work comfortably with linear algebra, probability, estimation theory, and coordinate frames.
  • Analyse large real-world inertial datasets and understand how errors propagate through navigation stacks.
  • Identify when software is compensating for hardware shortcomings.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Coding & implementation

  • Write high-quality code in:
    • C (performance-critical or embedded-adjacent work),
    • Python (analysis, tooling, prototyping).
  • Build self-sufficient pipelines for data ingestion, processing, and visualisation.
  • Produce clear plots that explain behaviour and failure modes.

Systems-level work

  • Work with sensors mounted on real platforms (stationary setups, robots, motion systems).
  • Understand how mounting, timing, and synchronisation affect performance.
  • Bridge hardware realities with software abstractions.

Hardware-first mindset

  • Use sensor fusion to expose hardware weaknesses, not hide them.
  • Be comfortable saying: “This should be fixed in hardware.”
  • Provide clear, quantitative feedback to hardware teams on which specs matter.

Required Background

You bring:

  • Experience with sensor fusion, inertial navigation, SLAM, or robotics.
  • Hands-on experience using inertial sensors in real systems.
  • Comfort with inertial testing and calibration (or strong ability to learn quickly).
  • Strong mathematical foundations.
  • Excellent coding skills in C and Python.
  • Experience handling large datasets and coordinate transformations.
  • Interest in navigation, autonomy, and real-world systems.

Who This Role Is For

This role is for someone who:

  • Enjoys working across hardware and software.
  • Is comfortable with test equipment, fixtures, and calibration procedures.
  • Wants to understand inertial sensors at a deep, physical level.
  • Is frustrated by overly complex fusion stacks compensating for weak sensors.
  • Wants to help create inertial hardware that software engineers love.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

What This Role Is Not

This is not:

  • a purely software or simulation role,
  • a theoretical estimation research position,
  • a job detached from physical testing.

You will be in the lab.

What Success Looks Like

After 6–12 months:

  • ZPM understands inertial performance from silicon to system.
  • Calibration procedures are robust, repeatable, and trusted.
  • Hardware teams receive clear guidance on what improves navigation performance.
  • Fusion stacks are simpler because the hardware is better.
  • Demos clearly show why ZPM inertial sensors are different.

Working with us

Compensation: Our framework is built on fairness and transparency, with regular reviews to reflect growth and performance.

Benefits: Share options, pension, and private medical insurance.

Culture: A deep-tech rocketship backed by leading investors. We’re building breakthrough technology with real commercial impact. Pace is high. Standards are higher.

Zero Point Motion is determined to foster belonging and empowerment at work. We are committed to providing a work environment where there’s a zero-tolerance approach to discrimination, and everyone is treated with respect. Equity, diversity and inclusion are central to our mission, and we strongly encourage candidates of all different backgrounds and identities to apply. If you need assistance or an accommodation due to a disability, please contact us.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Sensor Fusion
Inertial Navigation
SLAM
State Estimation
EKF
UKF
C
Python
Linear Algebra
Probability
Estimation Theory
Coordinate Transformations
Calibration
Data Analysis
Robotics
Embedded Systems

Location

Bristol, England, United Kingdom

Sign up to applySee more jobs like this