System Engineer (Safety)
Oxford, England, United Kingdom
Oxa
Oxa is a global leader in autonomous vehicle software for businesses. Any vehicle. Any environment. Any purpose.Who are we?
Oxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; the autonomous shuttling of goods and people.
We are home to some of the world’s leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is being deployed across the UK and the U.S, and we’re partnering with a fast-growing ecosystem of operators, vehicle OEMs and equipment makers serving autonomous transportation globally as it advances.
Based in Oxford, and with offices in Canada and the U.S, Oxa was founded in 2014 and is growing rapidly (350+ ‘Oxbots’ to date). Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023.
Your Team
As our System Engineer (Safety) you will join our Safety Team, collaborating with and guiding our Product Engineering functions to ensure that we’re developing and delivering safe, robust and certifiable products for use by our customers
Your Role
- You will be responsible for design, development and generation of safety metrics from the data collected
- You will also be responsible for safety relevant data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics management.
- Stay up to date with the developments in the latest tools and technologies for integration and improvement of the data pipelines.
- Collaborate with ML, robotics engineers and safety engineers to deliver scalable and reliable data processing solutions
- Interact with the platform teams (MLOps, DevOps, Metrics, Data Analytics) to develop scalable infrastructures for data generation and management.
Requirements
What you need to succeed:
- A solid understanding and passion for safety and systems engineering
- Experience in metrics and data analysis
- You will have experience of scripting
- Confident in the use of python and ideally with C++, SQL, Grafana experience
- Problem solving techniques
- Excellent communication skills on complex engineering topics
- Build networks and engage across multi discipline teams
Extra kudos:
- Familiar with industry relevant safety standards including ISO 21434, ISO 21448, UL4600, PAS 8800, SAE J3016.
- Experience with embedded systems for safety-critical systems.
The Candidate Journey: Multi-Step and Two-Way
No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we’re a good fit for the other. If the fit is good and you’re selected, you’re then in a position to do great work and thrive, which is what everyone wants.
Benefits
Compensation and Benefits
We provide:
- Competitive salary, benchmarked against the market and reviewed annually
- Company share programme
- Hybrid and/or flexible work arrangements
- Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)
- A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits
- A salary exchange pension plan
- 25 days’ annual leave plus bank holidays
- A pet-friendly office environment
- Safe assigned spaces for team members with individual and diverse needs
Our Culture
Diversity is a marathon not a sprint! It is a journey with no destination. We are on a mission to unlock the benefits of self-driving technology to every person and organisation on the planet. We are creating an environment where everyone, from any background, can do their best work which put simply is the right thing to do. We hire and nurture those we can learn from, valuing diversity and the innovation that this drives.
We apply a neuro inclusive lens to our recruitment process and want each potential Oxbot to enjoy the best experience possible for them. We promote an open and inclusive culture that empowers our Oxbots to bring their whole, authentic selves to work every day. Oxa is proud to be an inclusive organisation and, as such, we require all team members within our recruitment process to understand and deploy best practices focused on de-biasing the whole recruitment cycle.
Please share with us any individual needs or reasonable adjustments we may need to make in advance of commencing the interview process with us.
Learn more about our culture here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data Analytics Data governance Data pipelines DevOps Engineering Generative AI Grafana Machine Learning MLOps Pipelines Python Robotics SQL
Perks/benefits: Competitive pay Gear Health care Home office stipend Pet friendly
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