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Landa seeks a Materials Researcher specializing in industrial inkjet ink formulations. The successful candidate will combine deep materials expertise with a practical understanding of complex Nanography system interactions, driving innovations from early research through manufacturing release.

Responsibilities:

* Development and optimization of water?based industrial inkjet ink formulations
* Design, plan, conduct, and analyze experimental work to support ink performance and reliability
* Maintain strong experimental traceability, documentation, and data integrity
* Collaborate with cross?functional teams including jetting, process, mechanical, service, and operations
* Provide technical solutions for customer escalations related to ink performance
* Support transfer of ink formulations from lab?scale development to pilot and production environments

Attributes:

* Self?motivated with strong ownership and execution mindset
* Team player with excellent communication skills
* Hands?on, practical approach to experimental work

Required Outstanding Graduate Algorithm Developer
About the team:
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++.
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 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.

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.
Our group tackles diverse challenges - from object detection and scene understanding to 3D perception - using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
What will your job look like:
Develop and train neural networks for complex perception tasks in real-world driving environments.
Design and analyze deep learning pipelines, from data to deployment.
Collaborate with algorithm, software, and data experts to deliver production-ready models.
Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.

we are looking for a Senior AI Engineer - Exploration & Prototyping.
That is this role. You take an open question, run a focused spike, and come back with numbers and a recommendation. You read the source of the frameworks you evaluate rather than trusting their marketing. You build prototypes to settle arguments.
You do not own a subsystem and you do not ship to customers, which is exactly what protects the work: exploration inside a delivery team always loses to the sprint. You sit alongside the platform, research, and forward-deployed teams, you borrow their context freely, and your output is evidence they can act on.
You will be trusted with real influence early. The recommendations you write become the architecture other people build against, so the bar is not a working demo but a defensible conclusion, including the ones that say no.
What Youll Do:
Run technical spikes that close open decisions, covering agent orchestration frameworks, real-time transport, memory protocols, agent interoperability standards, LLM selection and routing, evaluation harnesses, and the production library and stack choices underneath all of it.
Build prototypes to de-risk, standing up something real quickly, proving or disproving the thing in question, and moving on without becoming attached to the code.
Read and evaluate unfamiliar codebases, going into the source of a candidate framework to find out whether it can actually support what we need rather than what its documentation implies.
Design the measurements that make a decision defensible, building the harness, running the comparison, and reporting latency, cost, and failure behavior honestly.
Own build-versus-adopt recommendations for platform infrastructure, frameworks, and libraries, including a clear statement of what it would cost to be wrong.
Write the recommendation down. Every spike ends in a short, decisive document another engineer can act on, with the evidence, the rejected options, and the reasoning behind the call
Hand off cleanly, transferring what you learned to the team that will own the capability in production, and staying available while they pick it up.
Track the landscape across agentic infrastructure, real-time frameworks, and adjacent AI tooling, and bring forward the things that genuinely change what we can build.

We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
What will your job look like:
Work on developing and optimizing control algorithms for the vehicle.
Run and analyze simulations to test autonomous vehicle in virtual environments.
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers.
Working with communication protocols and interfaces for both internal and external communications with different components of the system.
Customer facing workshops to discuss and test your algorithms.
Testing your algorithms in an Autonomous vehicle.

Required Deep Learning Algorithm Engineer - REM Semantics
About the team:
You will be part of our REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
You will be joining the team that builds the state-of-the-art AI-powered relevancy systems at scale. You will be designing and implementing semantic understanding engines that power data-driven products across autonomous driving and beyond, combining cutting-edge Computer Vision, Graph Neural Networks, and efficient inference to solve real-world perception challenges.
What will your job look like:
Conduct hands-on research and development of AI and Deep Learning algorithms for real-world automotive perception tasks.
Own projects end-to-end - from concept, through research, prototyping, designing, training, and evaluating neural network architectures, to integration and scalable deployment.
Analyze challenging edge cases and continuously improve model performance in complex driving scenarios.
Collaborate with algorithm developers, software engineers, product managers and system teams across the organization.
Work with large-scale datasets and real-world driving scenarios to improve model accuracy, robustness, and runtime efficiency.
Bring your ideas into production-ready systems that have a direct, measurable impact on autonomous vehicle technologies used worldwide.

we are looking for a Pre-Sales Solution Engineer.
You are a solution-oriented sales professional with expertise in presales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients.
You will:
Operate consultative with prospects and existing customers to define their challenges and opportunities. Map these challenges to the ecosystem by presenting differentiating and sustainable business value.
Full ownership to the success of customer PoC/Pilots through effective management of acceptance criteria and issue escalation/resolution. Run Security Questionnaires with prospects, and master the ability to demo vendor risk assessments.
Educate and become a trusted advisor and challenge assumptions and current status while delivering value to prospects and customers.
Present art of the possible and think outside the box approaches to implement privacy solutions.
Support technical and business discovery activities including workshops, and demonstrations, across multiple opportunities
Work closely with the sales team on account strategy and identifying additional opportunities in existing and new accounts.
Develop and deliver exceptional and engaging company/product presentations and demonstrations.
Work with all technical levels.
Be the technical product expert and advisor for customers and stay up-to-date on the data solutions competitive landscape.
Partner with Product Management and Engineering to provide feedback from the field and represent the customer perspective.
Identify and write internal and external technical collateral, like typical deployment architectures or best practices and industry standards.
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples).

Required Camera System Engineer
About the team:
We build camera-based ADAS and autonomous-driving systems with leading OEMs. This role is part of the Optical Path System Architecture and Integration team: the group that takes a new sensor integration from early requirements to a fully validated optical path.
As Camera System Engineer you will drive the full integration lifecycle of complex real-time embedded systems - bridging hardware platforms and software stacks from early requirements definition and platform bring-up through system-level validation and verification.
You will support pre-nomination and help close optical-path requirement gaps. Working closely with the Camera SW team and providing the pre-requisite they need for development and productization.
What will your job look like?
Define bring-up prerequisites and phases with architecture and program managers.
Support Bring up of optical path devices (Sensor, Serializer, Deserializer).
Review and contribute to Hardware-Software Interface specifications (register maps, memory maps, interrupts, boot sequences)
Support pre-nomination requirement definition, including customer-facing meetings when needed.
Support architecture with optical path feature requirements and sensors bring up requirements.
Support SW/HW integration test strategy including HIL setups and CI automated regression.
Deep co-debugging using Saleae, logic analyzers, and oscilloscopes; root cause analysis across hardware errata, timing, and firmware issues.

We are looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
You will need to learn and develop new algorithms which can address new problems as they arise.

We are looking for an Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision and Signal Processing. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python/C++, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and python.
You will need to both maintain the product and develop new features.
Learn and develop new algorithms which can address new problems as they arise.

Required Algorithm Developer for Geometric Team
About the team:
You will be part of our REM (Road Experience Management) department, responsible for the automatic 3D High Definition map making process, a key technology powering our autonomous driving and advanced driver assistance systems.
This process runs large‑scale algorithmic pipelines on big‑data infrastructure and requires a deep understanding of the team level code, a good understanding of the data flow integration with the group level, along with strong technical and algorithmic capabilities.
We are seeking a geometrically‑inclined algorithm developer to solve real‑world geometric problems using signal processing, contributing directly to technologies that improve road safety.
What will your job look like:
Design, develop, and optimize geometric and signal‑processing algorithms for large‑scale map creation systems.
Implement and maintain production‑level Python code within a complex, large codebase.
Analyze large datasets and build scalable solutions using scientific and big‑data tools.
Take algorithms from research and prototyping through production deployment.
Continuously research and develop new algorithmic approaches to address emerging challenges.
May explore Graph Neural Network (GNN) based approaches to complement geometric algorithms.

Our global provider of innovative defense solutions is seeking a skilled EO & Radar Systems Engineer to join our innovative engineering team. In this role, you will be at the forefront of designing, developing, integrating, and testing advanced electro-optical and radar systems for aerospace applications.

You will work closely with multidisciplinary teams to develop cutting-edge solutions, optimize system performance, and support the transition of advanced technologies from development to production and field deployment.

Responsibilities
Design and develop advanced defense system based on electro-optical (EO) and radar technologies for aerospace platforms.
Lead and support system-level integration, testing, and validation of EO and radar technologies.
Define system requirements, architectures, interfaces, and technical specifications.
Collaborate with multidisciplinary teams including hardware, software, algorithms, mechanical, production, and system engineering.
Evaluate and integrate new EO, radar, sensing, and related technologies to enhance system capabilities.