• About Autobrains:**
  
  

Welcome to Autobrains – a trailblazing force in artificial intelligence within the automated driving sector. With substantial support from prominent strategic and financial investors, Autobrains leverages cutting-edge AI technology to bridge gaps toward achieving safe and cost-effective autonomous driving. Boasting a dynamic team of over 150 professionals, our company is currently navigating a hyper-growth phase, propelling us to new heights as we actively contribute to both commercial success and strategic advancements in the industry.

• About the Team:**
  
  

In the pursuit of self-driving cars, one of the paramount challenges lies in achieving unparalleled Situational Awareness (SA) – the pivotal ability of an automated system to derive a profound semantic understanding of its surroundings. While current Deep Learning (DL) and Machine Learning (ML) techniques have made significant strides in addressing well-articulated problems, a comprehensive end-to-end SA solution remains elusive within the foreseeable future.As the SA Senior Engineer, you will be at the forefront of overcoming this challenge. Your role entails spearheading research and development efforts to craft an end-to-end SA module that seamlessly complements our state-of-the-art DL technology. This endeavor involves harnessing a diverse range of disciplines that transcend conventional neural-net-based approaches.

• About The Role:**
  
  

Embark on a pivotal journey as an Algorithm Developer and Calibration Expert, where your contributions will be instrumental in crafting cutting-edge computer vision algorithms. Focused on both online and end-of-line calibration within the dynamic landscape of autonomous driving, your role holds the key to elevating the safety and efficiency of self-driving vehicles. Through your expertise, you will empower these vehicles to navigate with unparalleled accuracy and reliability in real-time scenarios, shaping the future of autonomous mobility.

Responsibilities:

• Collaborate with cross-functional teams to design, implement, and optimise calibration algorithms, both on-line (i.e., from Optical Flow) and end-of-line (i.e., from charts), for autonomous driving systems.
• Develop and enhance computer vision models and techniques to accurately estimate the intrinsic and extrinsic calibration parameters, with and without GT data.
• Implement calibration and variable-estimation algorithms that ensure the continuous accuracy of the calibration model over time.
• Address challenges related to strong dynamical changes, unstable driving, bumpers, hard-braking, and real-time processing to achieve robust calibration estimation.
• Evaluate and integrate cutting-edge computer vision and machine learning libraries and frameworks into our automotive AI stack.
• Work closely with hardware and software engineers to ensure seamless integration of algorithms into our autonomous vehicles.
• Stay up-to-date with the latest research and advancements in online and end-of-line calibration to continually improve our technology.
  
  

Requirements:

• MSc/PhD in relevant disciplines (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.).
• Proven experience in computer vision, specifically in calibration or related domains, with a focus on real-world applications.
• Excellent coding skills, with at least 5 years of experience in Python. Strong background in C++ is advantageous.
• 3+ years of industry or research experience (e.g., MSc thesis) in algorithm development, machine learning, data science, or statistical modeling.
• Knowledge of state-of-the-art calibration algorithms and procedures.
• Self-learning academic background is advantageous.
• Understanding of Machine Learning and Deep Learning fundamentals.
• Experience working on autonomous driving projects or ADAS systems is a significant advantage.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
• Technical Competencies:**-
• Mathematical Mastery: Exhibit a robust mathematical background, encompassing estimation theory, signal processing, numerical analysis, and integer optimization.
• Problem-Solving Prowess: Showcase the ability to identify challenges, assess alternative solutions, and implement effective resolutions swiftly.
• Adaptability and Continuous Learning: Demonstrate an eagerness to embrace new techniques, adapt to evolving requirements, and stay abreast of emerging technologies.
• Meticulous Attention to Detail: Display a commitment to ensuring accuracy and thoroughness throughout all stages of research, design, and implementation.
• Proactive Initiative: Take the lead in tackling new challenges, actively seek opportunities to enhance processes, and drive tangible results.