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- Tasks: Lead a team to develop cutting-edge software for autonomous vehicles.
- Company: Join a pioneering company in AI-driven self-driving technology.
- Benefits: Enjoy a hybrid work environment and the chance to innovate in a growing field.
- Why this job: Be at the forefront of AV technology, shaping the future of transportation.
- Qualifications: 2+ years in software leadership, strong embedded systems knowledge, and Linux experience required.
- Other info: Reach out directly for more details or to discuss this exciting opportunity!
The predicted salary is between 43200 - 72000 £ per year.
Engineering Manager Job Type: Permanent Position Location: Hybrid (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: Lead a multidisciplinary team of Software Engineers and Systems Engineers, setting clear objectives and milestones. Drive strategic software deployment across AV systems, aligning with the company’s objectives. Oversee the design and implementation of software that supports full sensor integration and data capture, ensuring high quality and scalability necessary for autonomous operations. 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. Develop fault-tolerant software solutions with comprehensive diagnostic tools to swiftly address and resolve issues impacting the operational capacity of our deployed AV fleet. Craft and utilize advanced system monitoring tools to enhance performance metrics and troubleshoot both ad-hoc and systemic issues effectively. Efficiently allocate resources, including personnel and technical infrastructure, to meet project timelines and performance goals. About you: Essential At least 2 years in a leadership role within software development or embedded systems, including directly managing a software development team through all stages of the software lifecycle. Strong knowledge of software development for embedded systems, real-time data processing, and system diagnostics, preferably within the automotive or similar regulated industries. 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. 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 g.ndonfak@annapurnarecruitment.com
Engineering Manager employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager
✨Tip Number 1
Make sure to highlight your leadership experience in software development or embedded systems. Since the role requires managing a team, showcasing specific examples of how you've successfully led projects will set you apart.
✨Tip Number 2
Familiarize yourself with the latest trends in autonomous vehicle technology and AI. Being able to discuss current advancements and how they relate to the company's objectives will demonstrate your passion and knowledge during discussions.
✨Tip Number 3
Prepare to discuss your hands-on experience with Linux-based development and real-time systems. Be ready to provide examples of projects where you implemented fault-tolerant solutions or advanced system monitoring tools.
✨Tip Number 4
If you have experience with automotive software standards like ASPICE or AutoSAR, make sure to mention it. This knowledge is desirable for the role and can give you an edge over other candidates.
We think you need these skills to ace Engineering Manager
Some tips for your application 🫡
Understand the Company: Research the company’s mission and values, especially their focus on autonomous vehicles and AI. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Emphasize your leadership experience in software development or embedded systems. Provide specific examples of how you've managed teams and projects, particularly in real-time data processing or automotive software.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in programming languages like C++ or Rust, and your experience with Linux-based development. Mention any relevant tools or environments you are familiar with.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company’s innovative approach to autonomous technology.
How to prepare for a job interview at Annapurna
✨Showcase Your Leadership Experience
Make sure to highlight your previous leadership roles in software development. Discuss specific examples where you successfully managed a team, set objectives, and achieved project milestones.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with Linux-based development and real-time systems. Familiarize yourself with the programming languages mentioned, such as C++ or Rust, and be ready to answer technical questions related to embedded systems.
✨Align with Company Objectives
Research the company's goals and how they relate to autonomous vehicles. During the interview, express how your experience and vision align with their mission of pioneering AV technology and enhancing fleet operations.
✨Prepare for Problem-Solving Scenarios
Expect to encounter questions that assess your problem-solving skills, especially regarding fault-tolerant software solutions and system diagnostics. Prepare examples of past challenges you've faced and how you resolved them effectively.
