Platform Control Software Engineer - DISTRICT OF COLUMBIA - USA

Park Lane Recruitment
1 year ago
Applications closed

Related Jobs

View all jobs

MLOps Engineer

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer

Platform Control Software Engineer
 
- DISTRICT OF COLUMBIA
- USA

 
Salary: $100,000 - $200,000
 

About the Role: 
Take charge of platform control software that bridges the gap between motion planner trajectories and drive-by-wire commands, bringing innovative autonomous vehicle technologies to life. This is a hands-on role where you will design, optimize, and implement cutting-edge control systems. Work with a rapidly growing team in the autonomous vehicle space and directly impact the future of mobility.


Key Responsibilities:
  • Develop, test, and maintain platform control software that interfaces with drive-by-wire systems.
  • Translate complex motion planning trajectories into precise vehicle actuation commands.
  • Design and optimize control algorithms for vehicle dynamics and actuation systems.
  • Collaborate across multidisciplinary teams to integrate software with hardware components.
  • Troubleshoot and refine control systems to ensure high performance and safety.
Required Qualifications:
  • Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Robotics, Control Systems, or a related field.
  • At least 2 years of experience in control systems engineering.
  • Proficiency in programming languages like C/C++, Python, and MATLAB/Simulink.
  • Strong foundation in control theory and system design.
  • Experience with vehicle dynamics and actuation systems.
Preferred Qualifications:
  • Familiarity with AI and machine learning applications in control systems.
  • Hands-on experience in the automotive or aerospace industry.
  • Knowledge of real-world applications for autonomous vehicles or related technologies.
Why Join Us?
 groundbreaking technologies with a passionate, innovative team in a rapidly evolving field. This is your chance to shape the future of mobility and contribute to cutting-edge advancements in transportation.



IND123

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.