F
AI

Researcher / Applied Scientist (Autonomous Vehicle Perception Energy/Compute Modelling)

Fidelis AI Ltd · Bristol, ENG, GB · $44k

Actively hiring Posted 5 months ago

Job Summary

We’re looking for a highly skilled, innovative, and motivated Applied Scientist to deliver a fast, research-led project focused on mapping the perception stack and compute of self-driving autonomous systems examples and then using them to develop energy estimation models. The work blends literature review, dataset building, profiling experiments, and energy estimation models development.

If you enjoy taking a messy technical question, finding credible references quickly, validating assumptions with experiments, and turning it into a clear model and narrative, this is for you.

You will be put on an active project from day 1, so you are expected to get up to speed quickly and do significant contributions to the project within 1 month.

**What we’re looking for?

Must have:**

  • Strong applied research skills: ability to move fast, review literature efficiently, cite sources rigorously, and construct and carry out experiments quickly.
  • Practical Machine Learning systems experience: profiling inference performance, understanding GPU/CPU trade-offs.
  • Familiarity with modern autonomous vehicle stacks (perception sensors + pipeline concepts).
  • Ability to build and communicate a simple quantitative model with assumptions and sensitivity.
  • Clear, concise writing and documentation.
  • Programming languages: Python
  • Experience with writing/publishing academic papers.

Nice to have:

  • Experience with energy modelling.
  • Experience with CUDA and GPU behaviours and performance limits
  • Experience with machine learning model optimisation e.g. quantisation, pruning
  • Robotics background (ROS2, perception pipelines, sensor fusion).
  • Hands-on experience with Autoware (or similar autonomy stacks) and simulation workflows.

Job Types: Full-time, Fixed term contract

Contract length: 3 months

Pay: £35,000.00-£50,000.00 per year

Benefits:

  • Flexitime
  • Work from home

Ability to commute/relocate:

  • Bristol BS34 8RB: reliably commute or plan to relocate before starting work (preferred)

Work authorisation:

  • United Kingdom (required)

Work Location: Hybrid remote in Bristol BS34 8RB

Application deadline: 31/12/2025

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Fulltime Remote Machine Learning Robotics Ai