Experience Requirements:

• 2+ years of back-end engineering experience shipping and scaling cloud products

• Experience building and debugging large scale systems

• Demonstrable knowledge of computer science fundamentals

• Experience writing maintainable, testable, production-grade Python code

• Experience with SOA architectures, REST, message queues and API design

Other Requirements:

• Must be authorized to work in the US

Responsibilities:

• User-facing features and the infrastructure to support them

• Brand new products & technologies

• Consistency across the many codebases and processes you will encounter

• Projects with clear communication of milestones and progress

Education Requirements:

• Demonstrable knowledge of computer science fundamentals, whether by degree or otherwise

Experience Requirements:

• 2-4 years of experience as a front-end and/or full stack engineer

Other Requirements:

• Must be authorized to work in the US

Responsibilities:

• Build user-facing features and their underlying infrastructure to solve dynamic problems and delight users

• Collaborate with designers, engineers, and stakeholders to design, develop, and deliver an evolving product

• Take full ownership of projects, from considering design constraints and implications to driving architectural decisions and solving technical problems

• Wear multiple hats, adapt, and prioritize as new goals and challenges arise

• Build on both new & legacy code bases, balancing the need to pay down tech debt while shipping new features

Education Requirements:

• Demonstrable knowledge of computer science fundamentals

Experience Requirements:

• 5+ years of back-end engineering experience shipping and scaling cloud products

• Experience building and debugging large scale systems

• Experience writing maintainable, testable, production-grade Python code

• Experience with SOA architectures, REST, message queues and API design

Other Requirements:

• Must be authorized to work in the US

Responsibilities:

• User-facing features and the infrastructure to support them

• Brand new products & technologies

• Consistency across the many codebases and processes you will encounter

• Projects with clear communication of milestones and progress

Education Requirements:

• Demonstrable knowledge of computer science fundamentals, whether by degree or otherwise

Experience Requirements:

• 5+ years of experience as a data engineer

Other Requirements:

• Must be authorized to work in the US

Responsibilities:

• Work with large datasets from a variety of customers, all with privacy concerns

• Operate in a fast-paced environment to bring customers value quickly

• Continuously optimize, standardize, and improve code and processes

• Build systems that run reliably, and report/alert reliably when they fail

Education Requirements:

• Demonstrable knowledge of computer science fundamentals, whether by degree or otherwise

Experience Requirements:

• 5+ years of experience as a front-end and/or full stack engineer

Other Requirements:

• Must be authorized to work in the US

Responsibilities:

• Build user-facing features and their underlying infrastructure to solve dynamic problems and delight users

• Collaborate with designers, engineers, and stakeholders to design, develop, and deliver an evolving product

• Take full ownership of projects, from considering design constraints and implications to driving architectural decisions and solving technical problems

• Wear multiple hats, adapt, and prioritize as new goals and challenges arise

• Build on both new & legacy code bases, balancing the need to pay down tech debt while shipping new features

Benefits:

• Offers Equity

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience.

Responsibilities:

• Develop and deploy scalable web applications including front-end and back-end services.

• Design and implement data analytics and reporting tools for R&D as well as business uses.

• Design and implement high-performance, high-availability distributed data pipelines and services in cloud environments.

• Build and maintain distributed systems that can handle large volumes of data in real-time.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.

Responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale.

• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.

• Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.

Education Requirements:

• Degree in CS, ME, EE, Mechatronics or related field.

Experience Requirements:

• 3+ years experience developing safety critical embedded systems.

• 5+ years experience in automotive systems development or similar

Responsibilities:

• Work in coordination with global engineering teams to define vehicle-level self-driving requirements.

• Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces.

• Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features.

• Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features.

Education Requirements:

• Masters Degree in Computer Science, Mechatronics, Electrical Engineering, or a related field.

Experience Requirements:

• At least 3 years of hands-on experience in RTOS, including AUTOSAR and FreeRTOS.

Responsibilities:

• Implement requirements and designs for automotive software components related to communication, diagnostics, cybersecurity, operating systems, or bootloaders or AUTOSAR.

• Work in RTOS, linux kernel, and C/C++ SW stack layers responsible for our functional safety and security concept.

• Integrate RTOS components, conduct profiling, tracing, and systematic error analysis.

• Configure, generate, and integrate AUTOSAR modules on different microcontroller platforms.

Education Requirements:

• MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.

Experience Requirements:

• Extensive experience applying deep learning techniques to time series forecasting and data analysis.

• Strong understanding of conventional vehicle dynamics modeling.

Responsibilities:

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.

• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.

• Integrate the data-driven models into simulation pipelines with seamless compatibility.

• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.

Education Requirements:

• MS or PhD in Computer Science or equivalent practical experience

Experience Requirements:

• 7-10 years of experience building data-driven, fault-tolerant systems

• Proven record of delivering a DL based system

Responsibilities:

• Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning.

• Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas.

• Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.

Education Requirements:

• BS, MS, or PhD in Software, Robotics, or related field

Experience Requirements:

• 4+ years of machine learning engineering experience for robotics applications

Responsibilities:

• Use complex map and perception sensor output to develop novel deep learning models for our planning stack.

• Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.

• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.

• Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.

Education Requirements:

• MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience

Responsibilities:

• Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objects

• Identify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous driving

• Develop a distributed and automated pipeline for large scale scene reconstruction and automatic label generation

• Curate high-quality dataset for autonomous driving scenarios and design robust evaluation metrics

Education Requirements:

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields

Experience Requirements:

• 3+ years of industry experience

• Experience with AI inference computing optimization, quantization, model pruning techniques

Responsibilities:

• Deploy, optimize and accelerate machine learning models on various computing platforms from e.g. Nvidia, TI, Ambarella etc

• Implement compiler support to maximize inference performance

Experience Requirements:

• Experience with multi-modal detection fusion and tracking algorithms

• Strong understanding of computer vision and perception systems

Responsibilities:

• Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data

• Benchmark and evaluate perception performance using quantitative metrics and testing methodologies

• Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios

Benefits:

• Health, vision, and dental benefits

• Unlimited vacation

• Frequent team meet-ups in different parts of the world

• Equity options

Experience Requirements:

• Senior level experience with Python

• Senior level experience with backend Cloud services and Dev Ops

• Experience with deploying and serving of ML modes for inference

• Infrastructure as Code (IAC), Distributed Service Deployment, CI/CD, Docker

• Understands how to identify and fix performance bottlenecks

Other Requirements:

• Audio and FFMpeg experience

• ML experience

• Nvidia Triton Server, Kubernetes

• NodeJS, Javascript, Typescript

• RDS, Elasticache, PostgreSQL, Redis

• AWS CDK, ExpressJS, FastifyJS, Prisma JS, React

• Github Actions, AWS, DataDog

Responsibilities:

• Working with research team to deploy and optimize new ML models and architectures

• Update our python logic to improve our processing performance to work at scale

• Improve our processing pipeline to improve speed and reliability

• Inspecting and debugging Python code

• Improving our current backend and infrastructure code built with Python and NodeJS/Typescript languages Utilize the AWS CDK to update and maintain our cloud infrastructure Assist with efforts to deploy new infrastructure for new services Dynamically create and maintain our systems architectures in AWS via code using AWS libraries (Python and Javascript) Assist with brainstorming, writing documentation, and creating diagrams for our new architectural changes Help to maintain and improve the security and reliability of our services and ensure good engineering practices in compliance with our security policies

Benefits:

• Free Catered Meals

• Unlimited PTO

• Medical, Vision, Dental

• Work from Home

• 401k provided

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Responsibilities:

• Conduct comprehensive accessibility assessments of software applications, websites, and digital content to evaluate compliance with WCAG guidelines or VPAT requirements.

• Utilize automated testing tools, assistive technologies, and manual testing techniques to identify accessibility barriers and issues.

• Document assessment findings, prioritize accessibility gaps, and provide actionable recommendations for remediation.

• Collaborate with development teams to integrate accessibility considerations into the design, development, and testing phases of projects.

• Provide technical expertise in accessible design patterns, coding techniques, and assistive technologies to ensure inclusive user experiences.

Responsibilities:

• Design, build, and maintain key products of the Babel Analytics NLP platform

• Integrate new technologies and NLP methodologies into our existing platform

• Influence design, implementation, and architectural direction

• Work with product management to identify needed software improvements

• Research and prototype new technologies to improve our platform Participate in agile sprint and release planning

Experience Requirements:

• Strong experience in web technologies, particularly JavaScript/TypeScript.

• Strong experience shipping code to production.

• Love for building products from 0 to 1.

• Desire to be part of a founding team.