The goal of the team is to build a unified set of risk data for decision-makers at the firm level to make informed decisions about the firm's complex set of positions. The team will be coordinating with multiple different asset-class risk teams to build the firm's high-level view, including building out individual asset-class risk analytics in cases where it is deemed necessary.

This role involves research into using many different statistical and probabilistic techniques to evolve the firm's understanding of risk. Key to the role will be understanding the ways in which different market structures impact their individual asset classes, the behavior of large market participants, shared traits of popular trading strategies, and developing probabilistic methodologies to anticipate potential stress scenarios.

Responsibilities:

• Build and validate cross-asset risk measures.
• Identify market factors across asset classes and identify common risk premia trades.
• Apply feature discovery and classification-style ML to identify and interpret portfolio/trade drivers with careful validation and robustness testing.
• Partner closely with asset class risk teams to test assumptions, interpret results, and drive adoption of the analytics.
• Develop forward-looking scenario models, identifying risks in the firm shared across asset classes.

Requirements:

• 1–5 years of hands-on experience in quantitative research, modeling, or applied ML
• Strong foundation in applied mathematics / statistics / machine learning (especially probability theory, linear algebra, calculus, and statistics)
• Demonstrated ability to design, implement, and validate models from scratch (not just apply off-the-shelf packages)
• Python proficiency for research prototyping and analysis
• Experience with deep learning frameworks (For example, PyTorch/TensorFlow)
• Strong research habits: hypothesis formation, experimentation, back testing/validation, and clear communication
• Financial markets experience is helpful but not required

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.

This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.

If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

Key Responsibilities: Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

Requirements: Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

Preferred Qualifications: Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. Willingness to travel up to approximately 10%.

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Drawing from your expertise in circuit Quantum Electrodynamics and full-wave radio-frequency engineering, from fundamental theory through practical application, you will identify and implement improvements to the integrated circuit layout to mitigate loss and crosstalk channels. You will lay out and design microwave multi-qubit circuits for fabrication and develop next-generation quantum processors.

Key responsibilities include designing, laying out, and simulating superconducting microwave integrated circuits for quantum processors, with a focus on optimal on-chip signal delivery (routing, filtering, multiplexing, etc…). You will also simulate the full-wave electromagnetic performance of quantum processors (eigenmode & driven analyses) using commercial finite element software, engineering the mode profile of resonant structures and the coupling between these resonant structures and on-chip feedlines to optimize device performance.

Engagement with quantum engineers to identify and optimize Hamiltonian parameters for our R&D test devices and deployed quantum processors is also required. Additionally, you will map between target quantum Hamiltonians and integrated circuit layouts using internal python software libraries to construct and diagonalize the quantum Hamiltonian.

Interpretation of simulation and experimental results to identify and mitigate loss and crosstalk channels, or other undesirable microwave properties of the circuit, is essential. Collaboration with fabrication and experimental teams to develop novel processor architectures is also expected.

A PhD in Physics, Applied Physics, Electrical Engineering, or a related field, or the equivalent experience in industry and 3+ years of industry experience is preferred. Strong background in the theory and application of circuit Quantum Electrodynamics to the design of superconducting qubit based quantum processors is also required.

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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America.

To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team developing production-quality software that enables efficient and accurate creation of HD maps at Cyngn deployment-sites and robust localization for Cyngn’s autonomous vehicle fleets.

Responsibilities

• Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python.

• Develop tooling and metrics for performance validation and continuous testing frameworks.

• Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment.

Qualifications

• MS/Phd with focus in robotics or a similar technical field of study

• Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations.

• In-depth understanding of matrix factorization algorithms and Lie algebra/groups.

• Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)

• Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.)

• 6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware.

• 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc.

• Proficiency in Python.

• Excellent written & verbal communication skills.

Bonus Qualifications

• Proven record of top-tier publications or patents.

• Experience with GPU programming, CUDA.

• Experience in implementing automated map change detection and updating techniques.

• Experience implementing modern multi-sensor calibration and sensor mis-alignment detection algorithms.

• Experience with camera-based SLAM and 3D multi-view geometry.

• Experience working with ROS2 to design, build, and operate robotic systems.

• Exposure to modern software development version control and project management tools - Git, Jira, etc.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

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Responsibilities:

• Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.
• Work directly with other technical experts in their fields to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures.
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

Requirements:

• An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• 5+ years of relevant work or research experience.
• Direct experience improving the performance of large computational applications used by financial institutions.
• Excellent understanding of linear algebra.
• Programming fluency in C/C++ with a deep understanding of algorithms and software design.
• Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
• In-depth expertise with CPU/GPU architecture fundamentals.
• Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

• A Master’s or PhD in a relevant field is highly valued.
• Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading.
• Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations.
• Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services.
• Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection.

You will also be eligible for equity and benefits.

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Responsibilities

• Develop and implement systems and tools for the engine, rendering, and technological needs such as streaming, world editing, shaders, lighting, particles, and effects.
• Optimize memory and performance to meet the requirements of the target platforms.
• Provide support to technical artists and other team members as needed to use the technology correctly and efficiently.
• Analyze and propose improvements to the current 3D technologies in our engine.

Requirements

• 5 years of experience in a game development studio.
• Advanced knowledge of C++ and multi-threading techniques.
• Good understanding of modern GPU rendering pipelines and ability to use them efficiently.
• Familiarity with console APIs.
• Mastery of linear algebra 3D.
• Experience with modern rendering techniques such as TAA, deferred rendering, reflections, and global illumination.
• Fluent in French and English (spoken, written, and read).

Nice to Have

• Experience with profiling tools.
• Experience with ray tracing software.

How to Apply

If this opportunity seems like a new and exciting step in your career, we would be delighted to meet you. We know that some people hesitate to apply when they are not sure they meet all the requirements for a job. If you are unsure, take the leap! Share with us what you can bring to the project; we are eager to discover your unique talents, whether it's for this job or a future opportunity. Send your CV, cover letter, and achievements (professional and personal projects) via the form below.

The next steps will be:

• Review of your application
• Technical test (if applicable)
• Interview with a member of the HR team (remote)
• Technical interview with the project leads (in person, when possible, and we will reimburse your travel expenses to Bordeaux)

If you want to learn more about us, take a look at our LinkedIn page; there's a lot to discover about life at Asobo!

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At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

You Will:

• Develop robust and efficient algorithms for convex decomposition and mesh partitioning to support real-time simulation and collision detection.
• Design, code, and test innovative features for our core geometry engine, navigating the full development lifecycle from initial design to production deployment.
• Solve discrete math computational problems related to geometry processing.
• Improve the performance, robustness, and stability of existing geometry components and mesh processing pipelines across all platforms.
• Be mentored by senior engineers and actively engage in architectural discussions and system design for our proprietary, in-house engine.
• Collaborate in a small, autonomous team to drive essential parts of the Roblox experience and ensure the best user experience for our creators.

You Are:

• Possessing or pursuing an undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or a related field with an emphasis on computational geometry, modeling, or simulation.
• Highly proficient in modern C++ with a focus on writing organized, efficient, clear and reusable code.
• Equipped with a strong knowledge of 3D math, including linear algebra (vector and matrix math), numerical solvers, and advanced data structures.
• Familiar with some computational geometry concepts (e.g. related to convex decomposition), real-time graphics, or physics-based simulation.
• Showing demonstrable enthusiasm for coding (e.g. through participation in competitive programming or having personal project code repos involving relevant concepts).
• Able to thrive in dynamic environments, quickly adapting to new challenges.

This role is based in Vancouver, Canada.

For roles that are based at our headquarters in Vancouver, BC, Canada: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Annual Salary Range

$142,110—$142,110 CAD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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What you'll do

Your Responsibilities:

• Develop and maintain a complete animation data pipeline for ML training, from data source to deployment.
• Build stress tests to validate model robustness and performance prior to release.

What you need

• Proficiency in Python.
• 2+ years of industry experience, including internships, within Machine Learning projects.

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What you'll do

Your Responsibilities:

• Stay up to date with research in the field of Machine Learning.
• Propose and develop novel Machine Learning-based solutions to solve problems in character animation, agent behavior, physics, and content generation.
• Design and implement Machine Learning solutions that consider game development requirements.

What you need

• Expert-level proficiency in Python software development:
• Advanced features like generators, decorators, and context managers.
• Experience writing efficient, maintainable, and scalable Python code.
• Knowledge of linear algebra, statistics, and mathematical optimization techniques.
• Knowledge of Machine Learning: At least 1-2 years of experience in the field with a demonstrated practical approach to problem solving.

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What you'll do

• You will work on implementation of feature's core logic, game flows, and screens/components.
• You will work on technical solutions covering main areas of game development technologies, game features and optimizations of frame-rate and load-times
• You will provide feedback, guidance and solutions for improvement and optimizations
• You will work with other domain owners to integrate and develop technologies into the game
• You will analyze impact to above mentioned metrics throughout the development cycle

What you need

• 6+ years of experience in C++ software development
• Proficiency in integrating and maintaining large-scale systems covering multiple domains
• Understanding of memory management, multithreaded job system and run-time optimization and job-based architectures might come in handy
• Knowledge of assembler, scripting languages (Python, Lua) and C#
• Experience with 3rd party APIs
• Skills debugging complex applications
• Strong understanding of geometry, linear algebra, calculus, and physics as they pertain to transformations and motions in 3D Space
• Bachelor's degree in computer science or related field, or equivalent training and professional experience
• Experience with any of these beneficial, but not required: XBOX and PlayStation platforms; Mobile, PC, or Cloud-based games, graphics libraries such as DirectX, OpenGL, or Metal

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What you'll do

Responsibilities include implementing robust combat features, researching and implementing new AI techniques, focusing on detail to achieve the desired game feel, and collaborating closely with animators, designers, and artists across multiple studios.

What you need

• Solid C++ programming skills
• Strong math skills (linear algebra)
• Experience with advanced AI features (ex: Behaviour Trees, GOAP, Nav Mesh & Cover Gen, etc)

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