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CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

we are looking for a Senior Deep Learning Algorithm Developer.
Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms

We are looking for a Senior Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment

We are looking for a talented and experienced AI Backend Engineer to join our dynamic Engineering team. This is a hybrid role, reporting to the Group Manager, Director, Software Engineering in the Engineering Department. Avalor curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems. If you're passionate about data and helping companies improve their security posture, youll play a critical role in driving innovation within the AI space by leveraging cutting-edge backend technologies.
What youll do (Role Expectations):
Lead and drive innovative projects within the AI domain, leveraging fabric capabilities to enhance and accelerate our products offerings
Develop our agentic fabric framework and implement the agentic fabric framework across the platform
Identify opportunities to address complex technical challenges and improve existing systems
Own the end-to-end delivery of projects, from proof-of-concept (POC) to full-scale production deployment
Stay updated on industry trends, emerging technologies, and best practices to continually enhance our technology stack and processes.

Software Engineer (Platform)
About the team:
Our engineering team builds and operates the backend and infrastructure systems that power our products at scale. We are a highly collaborative team, focused on reliability, performance, and scalability, taking ownership of core services and the infrastructure that supports them.
The team works closely with infrastructure and DevOps practices day to day, including cloud infrastructure, deployment pipelines, database design, monitoring, and system automation. While our primary focus is backend and infrastructure engineering, we own and maintain a few web apps, both internal and external.
In addition, the team is responsible for handling inbound and outbound integrations with our customers. This includes maintaining and optimizing the infrastructure and tools required for that process.
We also own and evolve the LLM & ML infrastructure that underpins key parts of our business, continuously optimizing for performance, stability, and cost efficiency as these systems scale.
Partnership is central to how we work. We collaborate closely with Product, DevOps, and other engineering teams to turn product ideas into robust, long-term technical solutions. We value engineers who enjoy working close to infrastructure, thinking holistically about systems, and contributing beyond strict role boundaries when needed.
Role and Responsibilities:
As a Backend & Infrastructure Engineer, you will design, build, and operate production-grade systems that serve as the backbone of our products.
Your responsibilities will include:
Owning and evolving core backend services with a focus on reliability, performance, and scalability
Designing and maintaining infrastructure components, including cloud resources, deployment pipelines, and monitoring systems
Leading database design, migrations, and operational stability of data-intensive services
Operating and optimizing LLM/ML infrastructure, improving performance, resilience, and cost efficiency
Supporting customer integrations by building and maintaining robust inbound and outbound integration systems
Collaborating closely with Product, DevOps, and other engineers to translate product requirements into long-term technical solutions
Contributing to frontend or cross-stack work when needed to deliver complete, end-to-end features
This role is ideal for engineers who enjoy working close to infrastructure, take pride in operational excellence, and like contributing across system boundaries rather than staying narrowly scoped.

As Senior Automation Engineer, you will be responsible for integrating a complex line of products consisting of mechanics, electronics, and software/firmware. You will collaborate closely with cross-functional R&D teams to validate development changes and ensure integration integrity across the system.

Your role will also involve:

Integration of a complex line of products consisting of mechanics, electronics, and SW/FW
Collaborating closely with cross-functional R&D teams to validate development changes and ensure integration integrity across the system
Developing and maintaining automation tests and infrastructure for both back-end and front-end features to ensure reliability and efficiency
Creating and executing comprehensive test plans, test suites, and test scripts to validate functionality, performance, and integration
Conducting root cause analysis and troubleshooting integration issues, clearly communicating findings to relevant teams
Executing system-level tests on physical hardware, focusing on calibration validation, functionality, and performance
Providing detailed reports and actionable insights on test results, defects, and system performance to stakeholders
Creating and maintaining relevant documentation, test protocols, and technical guidelines
Interfacing with R&D teams, QA, and product teams

The Mobile SDK team at our company is responsible for developing and maintaining the mobile product, focusing on our mobile SDKs for iOS and Android. We work closely with the internals of both platforms, integrating with various mobile frameworks like React Native, Xamarin Forms, MAUI, and Flutter. Our team is dedicated to ensuring the highest quality of the SDK through rigorous automation and maintaining efficient release pipelines. We also collaborate closely with customers to deliver the best possible mobile experience, ensuring their success with our product.

our mobile SDK allows businesses to collect detailed analytics on user behavior within their mobile applications without extensive coding. This data helps them understand how users interact with the app and enables the delivery of targeted in-app messages and guides on top of the app to improve user experience and drive product adoption.

Role Responsibilities
Design and Evolve Android SDK Features: Architect, implement, and maintain new functionality within the Android SDK. Ensure seamless integration with the broader mobile product ecosystem and deliver an exceptional developer experience.
Leverage Deep Knowledge of Android Internals: Work closely with Android internals to optimize performance, resolve complex issues, and ensure compatibility across a wide range of devices and OS versions.
Cross-Platform Mobile Framework Development: Contribute to SDK development across multiple mobile frameworks-including Flutter, React Native, Xamarin Forms, and MAUI-ensuring broad compatibility, high performance, and feature parity.
Deliver High-Quality, Maintainable Code: Write clean, efficient, and scalable code. Champion best practices by developing unit and integration tests, enabling automation, and actively participating in code reviews.
Integrate Seamlessly with Mobile Ecosystems: Collaborate with team members to ensure the SDK integrates smoothly with third-party mobile frameworks and developer tools, reducing friction for partner teams and end users.
Support Global Customers: Partner with international customers to provide technical guidance, troubleshoot integration challenges, and help them succeed with our mobile solutions.
Collaborate Across Teams: Engage with product managers, designers, customer-facing teams, and fellow engineers to align on priorities and deliver an exceptional mobile experience.
Drive Continuous Improvement: Contribute to team initiatives focused on process enhancement, tooling, and innovation to ensure the SDK remains cutting-edge and developer-friendly.

Dustphotonics develops cutting-edge technology in Silicon Photonics, revolutionizing connectivity and communication in data centres. Silicon photonics is becoming a standard technology used for high-performance systems, solving challenges of performance, integration, power, and cost. This technology is growing rapidly also in other markets such as Healthcare, LIDARs, and other sensors. At Dustphotonics, we are looking to solve difficult problems, smartly and simply, by thinking out of the box, leveraging the knowledge and know-how of the team members, and working as a team to create Magic. Our Company culture is characterized by accountability for our ethics, and for being fair to every employee, customer, supplier, and partner. We believe we must work hard and have fun on the way to success. We are looking for a Photonics Design Engineer with proven, hands-on experience designing, simulating, and measuring active silicon-photonics components (e.g., modulators, phase shifters, photodiodes)

Responsibilities:
? Design and model active Silicon Photonics devices; own specs, compact models, and layout intent. ? Drive design for manufacturability: analyze performance across process/voltage/temperature corners and wafer variability; run Monte-Carlo/tolerance studies. ? Build scripted, parametric simulation flows (sweeps/optimization) and extract figures of merit (EO S21, V?·L, responsivity, dark current, bandwidth, IL). ? Plan and execute lab/wafer-level measurements; close the model-to-silicon loop by comparing data to simulations and updating models. ? Collaborate with process, test, and packaging teams on masks, runsets, and DFT/DFM reviews.

A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.

Responsibilities

As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:

Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Pecans Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

As part of our Automation team, you will play a key role in building and evolving a robust automation infrastructure that supports complex, scalable products.

You will help shape automation architecture, tooling, and best practices, work closely with R&D teams in an Agile environment, and directly influence the quality, reliability, and scalability of our platform.

This role combines hands-on automation development with system-level thinking.

In this role you will:
Design, develop, and maintain automation frameworks and test infrastructure
Write and maintain high-quality automated tests (API, integration, and UI)
Educate and collaborate with R&D teams on testing strategies, quality practices, and automation approaches
Shape automation architecture, design patterns, and development paradigms
Work closely with R&D teams daily in an Agile environment
Contribute to scalability, reliability, and quality improvements across the platform
Take ownership of automation solutions, from concept to production usage

were looking for skilled professionals to help shape our data platform and drive the next generation of trading technology.

In this role you will:
Design, implement, and maintain scalable data pipelines using Python and orchestration tools like Apache Airflow.

Take a leading role in evaluating and selecting foundational components of our data stack (e.g., Databricks vs. Snowflake).

Architect and optimize data workflows across AWS and on-premise environments.

Work with modern file formats (Iceberg, Parquet, ORC) and understand their trade-offs for performance, cost, and scalability.

Collaborate with analysts, engineers, and stakeholders to provide accessible and reliable datasets.

Help assess and implement frameworks such as DBT for data transformation and modeling.

Develop best practices and internal standards for data engineering, monitoring, and testing.

Contribute to the long-term vision and roadmap of Fin-on-exs data infrastructure.