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Required Senior Deep Learning Algorithm Developer- L2++ Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

As a Critical Infrastructure Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the go to engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.
- Interface with internal data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
- Work on concurrent projects, sometimes in multiple geographical regions.
- Initiate and lead engineering audits including on-site visits within our owned or colo data centers. Produce reports outlining risks with recommended mitigations and remediations
- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

Required Deep Learning Team Leader - L2 Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Deep Learning Team Leader - L2 Group, you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.
The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.
Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically.

We are looking for a visionary Chief System Architect to lead the design and evolution of real-time AI infrastructures and cutting-edge vision-based systems at the edge.
This is a key executive role, reporting directly to the CEO, with broad ownership over system architecture and strategic technology development.
Responsibilities
Define and lead the architecture of our next-generation AI and real-time systems for edge deployment.
Build scalable, robust, and efficient infrastructures to support deep learning, vision, and perception models in real-world environments.
Oversee the integration of real-time computing frameworks, AI inference engines, and system-level services across heterogeneous hardware platforms.
Lead technical alignment across AI research, algorithm, hardware, and software teams to ensure seamless system design and execution.
Establish system-wide best practices for real-time performance, resource management, inter-process communication (IPC), scheduling, and fault tolerance.
Guide the selection and integration of industry-standard and proprietary real-time technologies (e.g., RTOS, ROS 2, Adaptive Autosar).
Evaluate and integrate new hardware accelerators (GPU, NPU, DSP) to optimize AI execution pipelines under strict real-time constraints.
Stay at the forefront of advancements in real-time AI, embedded vision technologies, and system design methodologies, and incorporate them into the company's technical strategy.

We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As an algorithms developer, you'll be at the forefront of creating and optimizing advanced algorithms for autonomous driving - creating a perception for the 3d world, and performing actions to make your way in this environment. This is a hads-on role, involving machine-learning, mathematical modeling, control-theory and algorithmic solutions to a varietly of problems, all to ensure our systems perform flawlessly in real-world conditions.
Youll collaborate with cross-functional teams to decide on the correct data, create algorithms, and act as a technical expert during developement and testing. Your contributions will directly impact the abilites of our autonomous driving technologies.
Responsibilities:
As an algorithms developer, you will be responsible for:
Write algorithms to improve our 3d perception of the environment, such as computational geometry, object detection, tracking and prediction
craft new evaluation methods to measure the effect of your models
Diagnosing and solving algorithmic issues that are affecting our performance.
work with large amounts of data, taking part in data-pipeline designs
take ownership of the developement life-cycle: defining the target kpi's, developement and testing, release and integration
extract insights from large amounts of data, contributing to the developement decision making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.

As a Field Engineer, you will provide full life-cycle support to our Data Centers from design inception through site improvement and maintenance. You will be the go to engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:

- Perform design and equipment submittal review for new Data Centers in your region.
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
- Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
- Develop innovative solutions for our data centers.
- Work on concurrent projects, sometimes in multiple geographical regions.
- Initiate and lead engineering audits including on-site visits within our data centers. Produce reports outlining risks with recommended mitigations and remediations.
- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

As a Field Engineer, you will be leading projects to fit out our data centers to meet ever-evolving customer needs as we continue expanding our fleet to hyper-scale. As an ideal candidate you:

- Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.
- Are detail and data oriented.
- Have experience solving problems with engineered solutions.
- Have experience managing engineering projects and consultants.
- Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers).
- Are adaptable and inclined to get into the field to see things up close.
- Excited about a mix of office and field work.

As a Solutions Architect at AWS, youll build technical relationships with customers and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.

Youll manage the overall technical relationship between AWS and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their projects. Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of AWS features.

In this role, your creativity will link technology to tangible solutions, with the opportunity to implement cloud-native reference architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about AWS technology (e.g., through workshops, user groups, meetups, public speaking, online videos or conferences).

Key job responsibilities:
You will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
You operate as a trusted-advisor for customers. Their best interests will shape the guidance you provide. You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners technology.
You capture and share the voice of the customer to influence the roadmap of new features and services for AWS. You use your customer understanding to participate in the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).

We are seeking an industry-leading Senior Product Manager Technical, to own the vision, development, launch and continuous improvement of AI-powered features personalizing our search experiences (e.g., Autocomplete, Filtering, Search results, etc.); making it feel tailored to each customer's shopping needs and preferences.

As a Senior Product Manager, youll have an end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers.
Our Senior Product Managers have the freedom (and encouragement) to experiment with new possibilities, improve, invent, and innovate on behalf of our customers.

The right person has high levels of customer obsession, strong technical judgement, demonstrated ability to build scalable processes and products, and is an independent operator, skilled on working cross-teams to deliver on behalf of customers.


Key job responsibilities
Lead the vision, definition, and delivery of personalized search experiences, to drive customer engagement, loyalty, and revenue growth.
Collaborate closely with cross-functional teams, including engineering, science, product management, UX design, and business stakeholders, to define and execute a product roadmap to deliver upon these features and experiences.
Constantly make ruthless roadmap prioritization decisions. Anticipate and make tradeoffs, balancing between customer and business needs vs. technical constraints.
Work back from our customers by learning from their feedback, behavioral measurements, and other data sources to craft better experiences and ensure we are building the right features over time.
Monitor key performance indicators (KPIs) and analyze metrics to measure the impact of personalized search experiences, identify areas for improvement, and drive continuous optimization.
Conduct rigorous analysis of market trends and competitive landscapes to identify opportunities for personalization and drive product strategy.
Communicate effectively with partners and senior leadership, including both technical and non-technical audiences, to present new product ideation, product strategies, progress updates, and business recommendations to drive alignment and create a buy-in for Personalization initiatives.

As a Solutions Architect, youll build relationships with customers and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.

Youll manage the overall technical relationship between us and our customers, making recommendations on software, data, security, cost, performance, reliability and operational efficiency to accelerate their business transformation. Internally, you will be the voice of the customer, sharing their needs and wants to make our value higher for our customers.

In this role, your creativity will link technology to tangible solutions, with the opportunity to implement cloud-native architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about our technology (e.g., through workshops, user groups, meetups, public speaking, online videos or conferences).