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We are looking for an excellent design engineer to join our team and build QM's state-of-the-art control and orchestration platform. We are looking for a highly talented and motivated person, who is a real team player and which can collaborate closely with engineers from other disciplines and quantum physicists

Responsibilities:

Designing a configurable and very low-latency challenging RTL
Bringing the state-of-the-art FPGA to its limits with regards to logic & timing optimization
End2end ownership of the entire coding process (Arch->uArch->Design->Implementation)
Learning system and SW requirements for proper implementation of HW-SW interface

Join our cutting-edge hardware development team as Micro-Architect and play a key role in defining and implementing the micro-architecture of advanced digital logic components.

What You'll Do:

Define and develop micro-architecture for complex logic blocks - from concept through high-quality RTL implementation
Collaborate closely with architecture, verification, design and software design teams
Write clear and detailed design specifications and drive architectural trade-off analysis
Optimize for performance and area
Contribute to innovation, methodology improvements, and technical leadership within the team

We are looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.

Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.

Responsibilities:

- Own the quality and test automation strategy across QM's high-level software, including our SDKs, APIs, user-facing tools, and the services around them.

- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.

- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.

- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.

- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.

- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.

- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.

- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.

Were looking for a Founding AI Engineer to build and define the research function at Upriver from zero. This is a rare opportunity to work on some of the hardest unsolved problems in applied AI and agents, with massive ownership, visibility, and room to grow into leadership quickly.

What Youll Do
Lead the AI domain at Upriver: Take ownership of our agent architecture and help define its next phases, standards, and direction.
Solve hard, unsolved problems: Work on challenges in AI agents, reasoning over complex systems, and autonomous decision-making that dont yet have clear playbooks.
Build production AI: Design, implement, evaluate, and deploy AI systems used by real customers.
Be outward-facing: Publish technical blogs, benchmarks, and papers; represent Upriver in the AI and data community.
Move fast with autonomy: Own problems end-to-end with minimal guidance, working directly with founders.
Deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.

The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.

Responsibilities:

Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies- including AI-powered development tools.



Were a collaborative engineering team that values ownership, trust, high-quality design, and continuous improvement, with AI used as a tool to enhance productivity and decision-making. Engineers work closely with product and design, shaping solutions from discovery to delivery while challenging assumptions and focusing on solving the right problems. This role offers strong technical ownership, architectural influence, mentorship opportunities, and support for ongoing professional growth.

What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.

The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.

Responsibilities:

Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

We are looking for a Senior ML Algorithm Engineer to lead the development and optimization of machine learning models for challenging real-world problems.
In this role, you will work hands-on across the full model-development lifecycle: understanding the task, designing and adapting algorithms, building effective training strategies, analyzing data and failure modes, and improving model quality and efficiency through rigorous experimentation.
This is an algorithm-focused role for someone who enjoys getting deeply involved in the details of model training and optimization. You will not simply operate an existing training infrastructure-you will investigate open-ended problems and develop practical solutions involving model architecture, data and sample selection, training objectives, optimization methods, and evaluation
What will your job look like:
Work on the semantics of road objects, using harvested tabular data as the primary input to our algorithms - turning large-scale, real-world observations into models that capture object meaning, attributes, and behavior on the road network.
Design, implement, and optimize machine learning and deep learning algorithms for these semantic tasks, from architecture and training objectives through evaluation and efficiency.
Develop and improve end-to-end model training pipelines, from data preparation and sampling of harvested tabular datasets through training and evaluation.
Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements.
Develop effective strategies for data selection, dataset composition, sampling, augmentation, loss design, and training schedules.
Lead the investigation of complex algorithmic challenges, uncover patterns in data and model behavior, and translate insights into measurable improvements.

Outstanding Graduate Algorithm Developer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

We are looking for a Senior Mechanical Design Engineer to join our mechanical engineering team at the AV Platform department as a key player in the development of next-generation ECU (electrical control unit) for autonomous vehicles.
This key position includes leading the product design throughout all lifecycle stages, from inception to mass production, close interaction with hardware, layout, thermal, quality, V&V, reliability, production and working closely with OEMs, stakeholders and suppliers.
What will your job look like?
Take full ownership of the mechanical design, from concept, through detailed design and support during Qualification, NPI and MP stages.
Work closely with the hardware and layout team to define PCB outline, height limitation, keep outs and integrate the electrical design into the mechanical.
Perform DFM, mechanical simulation and stack up/tolerance analysis.
Analyze customer requirements and extract all relevant information for the ECU design.
Work closely with OEMs and tier-1 manufacturers.

Required Experienced SoC Verification Engineer
About the team:
Our SOC verification group owns the important and challenging job of verifying our chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

Our Automated Driving group is looking for an experienced DFT Engineer.
This is an exciting opportunity to join a team of highly talented engineers, working on one of the most cutting-edge technologies - Autonomous Vehicle (AV) SoC.
At our Automated Driving group, we know that the idea of a fully autonomous car is no longer science fiction, but a reality that we are creating!
We have spent more than 15 years developing the world's most Advanced Driver Assistance Systems (ADAS) and we are now leading the computer vision and machine learning domain, reaching fully automated driving experience (AV).
What will your job look like:
Develop all the necessary HW / FW / SW for the different modules.
Verify and Validate our design.
Debug and analyze coverage and yield loss.
As a cutting edge technology company, we are working only with the very advanced DFT tools and features, while developing our own methods and DFT concepts - as it required by the Automotive and Safety related products market (ISO26262).

Required Experienced Deep Learning Software Engineer - Algorithms & Data
About the team:
Our team develops models for road perception. We turn multi-sensor inputs (vision, maps, and more) into models that understand road geometry and behavior. We work at the intersection of algorithms, DL models, infrastructure, and data engineering.
what will your job look like?
Own road data pipelines end to end: tools for datasets and databases, running across S3 and on-prem
Design algorithms on large-scale vision and multi-sensor data (maps, sporadic inputs), including geometric reasoning from 2D image space to 3D world space for perception and world modeling
Implement and develop algorithms for the AV production system
Build evaluation tools, algorithms, metrics, and related infrastructures.