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Required Senior Autonomous Driving Software Engineer
Description
We are building next-generation Level 4 autonomous driving vehicles. As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.
Responsibilities
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

Required Senior Software Engineer - NVIDIA DRIVE Platform
Description
We are building next-generation Level 4 autonomous driving vehicles. We are looking for an experienced software engineer with hands-on experience with NVIDIA DRIVE platforms to help bring up and optimize our software system on NVIDIA DRIVE Thor.
In this role, you will work with NVIDIA DRIVEWORKS, focusing on system bring-up, resource and memory management, and designing software architectures that efficiently leverage NVIDIA hardware acceleration (GPU, DLA, and other compute resources). You will collaborate with algorithm, hardware, and verification teams to ensure reliable, high-performance software running on real autonomous vehicles
Responsibilities
Bring up and integrate software systems on NVIDIA DRIVE platforms (Xavier / Orin / Thor).
Develop and maintain platform-level software and infrastructure components.
Work with NVIDIA DRIVEWORKS SDK to support perception and system pipelines.
Manage system resources, memory, and compute utilization to ensure optimal performance.
Design software architectures that leverage GPU, DLA, and heterogeneous compute resources.
Debug, profile, and optimize system-level software for performance and reliability.
Integrate software with sensors, hardware components, and other platform modules.
Collaborate with cross-functional teams including algorithms, hardware, and verification.
Support testing, validation, and debugging on development platforms and vehicles.

our company is a global leader in hybrid control systems for our computing, a field on the verge of exponential growth.
our innovative hardware and software offer a groundbreaking approach to controlling our computers, scaling from individual qubits to arrays of thousands.
at the heart of qm is a passionate, ambitious team committed to transforming the construction and operation of our computers. our deep understanding of customer needs drives us to deliver unmatched solutions in this revolutionary field.
we are looking for a highly experienced a hands-on software infrastructure engineer who embodies ambition and positivity.
someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
responsibilities:
creating innovative infrastructure to help with modernizing coding, processes, and workflows.
drive adoption of ai capabilities across chip design, verification and software teams.
partner with engineering teams to deliver high-quality software infrastructure for development in a complex hardware-software system.
design and maintain multi-language code generation systems.
evaluate and integrate new technologies to enhance Developer workflows.

We are looking for a Senior Software Engineer to join our Decision Engineering team. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.
Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.
In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.
This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.
What you'll be doing:
Lead the architecture and evolution of our decision engine and related services: real‑time decision APIs, rule and policy engines, model‑serving interfaces, and the orchestration layers that tie them together.
Design and implement highly available, low‑latency, distributed systems that process large‑scale event streams and support complex decision workflows.
Collaborate with product, risk, and customer‑facing teams to translate risk strategy and merchant needs into robust system capabilities (e.g., configurable decision flows, exemptions, auditability, analytics surfaces).
Mentor and coach engineers across levels in areas such as distributed systems design, reliability engineering, and systems thinking, elevating the overall standard of engineering in the group.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.