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If you are a hands-on person with experience in leading a team of Embedded SW engineers and you want to be a part of the Autonomous vehicle revolution, we are looking for you! As our RT Embedded SW Team Leader you will lead the development of Embedded SW involving various tools and cutting-edge technologies in Real-Time environment.
What will your job look like?
Lead a team of Embedded RT Engineers.
Develop drivers and SW support for new HW including debugging and integration.
Interact with external customers and multiple departments in our company for requirement gathering and correct integration of new features.

We are seeking a seasoned Architect to design and build scalable, robust systems from end to end. Our system handles various ML and DL models, processes 100+TB of new data daily, supports hundreds of millions of daily active users, and manages billions of requests per day.

The successful candidate will implement cloud architecture best practices on AWS, lead the deployment of machine learning models in this high-scale real-time environment, and collaborate with cross-functional teams to ensure seamless integration and top performance.

Responsibilities:

Design and architect scalable, robust systems from end-to-end
Implement best practices and creative solutions in cloud architecture on AWS
Lead the deployment of machine learning models into a production high-scale real-time environment
Work closely with back-end, front-end, data engineering, ml-engineering, data-science teams to ensure seamless integration
Drive discussions and provide guidance on architecture best practices, mentoring other team members when necessary
Assess and address technical risks and potentials
Review code for quality, performance, and scalability
Collaborate with stakeholders and product managers to translate business needs into system architecture

This role is a critical part of our companys Map Release team, which is a core function within the broader our company's Road Experience Management (REM) organization. Our mission is to provide the Autonomous Vehicle with highly accurate, validated maps that allow it to maneuver flawlessly and safely on the road, while rigorously verifying their integrity and quality. You'll have the opportunity to work closely with our AV, Product, and R&D Teams to deliver these essential components. We are seeking an experienced and technically proficient Release Manager to own and lead the software release lifecycle across our organization. This role requires a combination of deep technical understanding, strong leadership, and excellent interpersonal skills to ensure high-quality, predictable, and timely deployments. The ideal candidate will act as the crucial liaison between development, QA, and operations, managing conflict and driving adherence to release processes.
What will your job look like:
High-impact role where you'll define the cadence and quality of our product delivery. You'll work directly with top technical talent and have the autonomy to implement the best practices required to scale our engineering operations.
Define, document, and manage the end-to-end release process, ensuring consistency and predictability across all environments.
Manage and communicate risks, dependencies, and mitigation strategies related to releases.
Maintain a high-level technical understanding of the core product interaction points between various software components.
Drive best practices for Git branching strategies, specifically managing release, stable, and cascading branches to maintain code integrity and stability.
Serve as the central point of contact, facilitating cross-functional coordination between engineering, QA, product, and operations team leads.
Effectively manage and resist pressure from various team leads and stakeholders regarding scope, schedules, and priorities.
Utilize Python proficiency to develop and maintain automation scripts, tooling, and utilities that streamline the release process and improve efficiency.

We are looking for an experienced BI / Data Engineer to develop systems that make vast amount of data more accessible and efficient throughout the organization. This is a perfect opportunity if youre passionate about data and have strong analytical and technical skills.

You will be developing innovative and creative ways to deliver data and information at scale in a fast-growing, exciting industry while working closely with our data analysts, product managers, software engineering teams, and management.

Responsibilities:

Design, manage, and optimize scalable data models and BI infrastructures for internal and external stakeholders
Work with diverse relational and non-relational databases (Presto, Athena, Firebolt, MySQL, etc.)
Build and maintain reliable ETL/ELT pipelines using Airflow, Python, and Upsolver
Design and develop data visualizations and dashboards (Tableau)
Identify and implement technological solutions for large-scale analytics
Serve as the central data authority, providing guidance, documentation, and support across the company

If you are a hands-on person with experience in leading a team of Embedded SW engineers and you want to be a part of the Autonomous vehicle revolution, we are looking for you! As our RT Embedded SW Team Leader you will lead the development of Embedded SW involving various tools and cutting-edge technologies in Real-Time environment.
What will your job look like?
Lead a team of Embedded RT Engineers.
Develop drivers and SW support for new HW including debugging and integration.
Interact with external customers and multiple departments in our company for requirement gathering and correct integration of new features.

Join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF System-on-Chip (SoC) products. Youll collaborate with internal teams and external OSATs to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
What will your job look like:
Define and specify advanced package architectures for digital SoCs and RF ICs in automotive applications.
Perform substrate design for flip-chip BGA (FC-BGA) packages, including stack-up, routing, and ball-out optimizations.
Evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
Collaborate with OSATs to define and validate assembly materials and process flows.
Work closely with internal teams such as Backend, SIPI, Product Engineering, and Quality & Reliability to ensure seamless integration.
Monitor yield, quality, and manufacturability across package development and production stages.
Support DFM reviews and ensure compliance with automotive standards and customer requirements.

Were looking for a Data Product Manager to lead key data products and help drive core infrastructure initiatives. This role blends product thinking, technical depth, and cross-team collaboration perfect for someone who enjoys solving complex problems and working closely with engineering, BI, and architecture teams. This is a new role, so youll have plenty of room to shape how it works and make it your own.

If you're passionate about solving real-world challenges at scale, enjoy building products in highly technical domains, and want to lead cross-functional teams in a fast-paced environment, this is your chance to make a real impact.

Responsibilities

Lead data-heavy products end-to-end from ideation and feasibility through execution, rollout, and ongoing support, individually or with other PMs.
Set the strategic direction for data as a product, defining how data is structured, governed, and delivered to maximize business impact. Ensure clarity, usability, and adoption through strong data quality practices and business-aligned standards.
Drive core data infrastructure initiatives by representing product and business needs, ensuring clear value, and partnering with architects and engineering leadership on key platform improvements.

Join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF System-on-Chip (SoC) products. Youll collaborate with internal teams and external OSATs to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
What will your job look like:
Define and specify advanced package architectures for digital SoCs and RF ICs in automotive applications.
Perform substrate design for flip-chip BGA (FC-BGA) packages, including stack-up, routing, and ball-out optimizations.
Evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
Collaborate with OSATs to define and validate assembly materials and process flows.
Work closely with internal teams such as Backend, SIPI, Product Engineering, and Quality & Reliability to ensure seamless integration.
Monitor yield, quality, and manufacturability across package development and production stages.
Support DFM reviews and ensure compliance with automotive standards and customer requirements.

As a Quality and Reliability (Q&R) Engineer, you will lead the qualification and long-term reliability of advanced System-on-Chip (SoC) and RF semiconductor products for automotive applications. Youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
What will your job look like:
Define and manage Quality and Reliability specifications, simulations, and qualification plans for SoC and RF die and package.
Plan and execute automotive-grade qualifications per standards such as AEC-Q100, JEDEC JESD22, and IATF 16949.
Design and implement die-level and package-level stress tests.
Select and prepare electrical, environmental, and mechanical test platforms for reliability testing.
Define requirements for Pre-Si Q&R (e.g. ESD, LU, EM, IR drop), Design-for-Test (DFT), electrical characterization, and Post-Si Q&R testing of digital, mixed-signal and RF SoCs.
Collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (OSATs).
Lead failure analysis, reliability modeling, and corrective action processes (e.g., 8D, FMEA, FMEDA).
Document and certify automotive standards compliance, including PPAP/APQP deliverables.

We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value

We are looking for a Fullstack Team Leader who can rally a team behind a vision, build it efficiently, and have the foresight to help the company scale through software. This position is meant for those who want to be in the thick of things and make impactful decisions.

You will be building and maintaining our most sensitive systems and platforms that enable and empower our companys growth. Our system supports millions of requests per second and should be built to scale and high performance. In our data-driven environment, your team's planning and implementation has a crucial role in our ability to support our clients.

We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.



Responsibilities:

Design, code, and manage large scale, highly available, real-time (low latency) services using cutting edge technologies (Node.js, React, Redis, Kubernetes, etc. over AWS).
Lead and mentor a team of around 4 members, abroad, and performing code reviews to other team members.
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Manage a time-efficient sprint plan. Plan, groom and manage the present sprint and the upcoming ones with Product.
Understand and implement security and data protection needs, and assist in-house teams and supply creative solutions for various problems.

As a Quality and Reliability (Q&R) Engineer, you will lead the qualification and long-term reliability of advanced System-on-Chip (SoC) and RF semiconductor products for automotive applications. Youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
What will your job look like:
Define and manage Quality and Reliability specifications, simulations, and qualification plans for SoC and RF die and package.
Plan and execute automotive-grade qualifications per standards such as AEC-Q100, JEDEC JESD22, and IATF 16949.
Design and implement die-level and package-level stress tests.
Select and prepare electrical, environmental, and mechanical test platforms for reliability testing.
Define requirements for Pre-Si Q&R (e.g. ESD, LU, EM, IR drop), Design-for-Test (DFT), electrical characterization, and Post-Si Q&R testing of digital, mixed-signal and RF SoCs.
Collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (OSATs).
Lead failure analysis, reliability modeling, and corrective action processes (e.g., 8D, FMEA, FMEDA).
Document and certify automotive standards compliance, including PPAP/APQP deliverables.

We are looking for a Machine Learning Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.

As a Tech Lead on the ML team , you will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle managementthe foundation of our product.

Responsibilities:

Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:
Data wrangling supporting and enabling data requirements for research, training, validation, and testing.
End-to-end ML delivery enabling model performance development, training, validation, testing, and version control.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.
Build and support monitoring and observability tools dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as:
Feature Store centralizing feature engineering and serving across teams.
Vector Databases enabling large-scale embedding storage and retrieval for advanced ML applications.
GPU Cluster Scaling optimizing distributed training and inference infrastructure.
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, algorithm developers work at the forefront of AV/ADAS innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C++. At our company, algorithm developers join a variety of teams across a broad range of domains. This role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. Algorithm developers at our company contribute to diverse areas of innovation, including: Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time. Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding. Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks. Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation. 3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++.
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.