National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Software Engineer

Annapurna
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer C# - Near Edinburgh Hybrid

Senior Software Engineer – API & ML Infrastructure

Senior C++ Software Engineer

C++ Software Engineer

Senior Software Developer

Senior Embedded Software Engineer (Permanent Position)


Location:Hybrid Model(UK Based)


Start Date:ASAP



About The Company:


We are a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. We were the first to deploy AVs on public roads with end-to-end deep learning.


The Role:


As the Senior engineer of the Robot Software team, you will guide our initiatives to develop, integrate, optimise, and support software solutions crucial for sensor data and vehicle actuator integration to enable autonomous functionality on embedded devices within our vehicles. From the initial concept to final deployment, your expertise and leadership will facilitate the seamless operation of our autonomous vehicle (AV) fleet, demanding a deep understanding of Linux-based application development, embedded computing, and robust system diagnostics within the automotive sector.



  • Team Leadership and Strategic Oversight:Lead a multidisciplinary team of Software Engineers and Systems Engineers, setting clear objectives and milestones. Drive strategic software deployment across AV systems.
  • Software Development and Integration:Oversee the design and implementation of software that supports full sensor integration and data capture, ensuring high quality and scalability necessary for autonomous operations
  • Real -Time System Management:Ensure the delivery and maintenance of soft-real-time applications on Linux-based platforms, focusing on data collection, storage, and on-edge machine learning inference
  • Fault Tolerance and Diagnostics:Develop fault-tolerant software solutions with comprehensive diagnostic tools to swiftly address and resolve issues impacting the operational capacity of our deployed AV fleet
  • Performance Monitoring:Craft and utilise advanced system monitoring tools to enhance performance metrics and troubleshoot both ad-hoc and systemic issues effectively


About you


Essential


  • Expertise in Software and Embedded Systems:Strong knowledge of software development for embedded systems, real-time data processing, and system diagnostics, preferably within the automotive or similar regulated industries.
  • Technical Proficiency:Hands-on experience with Linux-based development, real-time systems, and edge computing. Proficiency in programming languages such as C++ or Rust, and experience with relevant software development tools and environments.
  • Strategic Acumen:Excellent ability to conceive and execute technology projects that align with both immediate and long-term business objectives of the Onboard Software organisation.


Desirable

  • Automotive Software:Background in developing automotive software, with knowledge of ASPICE, DriveOS, or AutoSAR
  • Educational Background:A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field is desired


If you would like to have a chat about this exciting opportunity, apply below or reach out directly to

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.