The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing Intraday signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Its Impact: As we pursue our goal of creating new alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed.

What You’ll Bring:

• Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g.Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
• Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
• Strong background in ML/AI/Statistics is a big plus
• Strong background in Data Science and experience working with large datasets is a big plus
• Relentless drive to pursue ideas from conception to implementation
• Intellectual curiosity and desire to develop genuine insights and domain expertise.
• Excellent problem solving abilities and judgment with a strong attention to detail
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Strong English language skills; ability to communicate complex concepts in simple terms

WorldQuant has adopted the Tripartite Standard on Recruitment Practices, and has committed to being a fair and progressive employer.

Established in 2020, the Singapore Studio is Riot’s second international game development studio. Riot has been expanding our footprint in Asia and accelerating our talent growth to develop games that deliver great experiences to our players. Our mission is to scale Riot’s games to hyper-serve players.

We partner with our LA headquarters on game development for League of Legends, Teamfight Tactics, and Legends of Runeterra. We’re also building teams for VALORANT and 2XKO, our take on a fighting game. The Singapore Studio is seeking talented, passionate craft experts with backgrounds in all areas of game development to build games that make it better to be a player. 

We’re focused on working together to promote individual autonomy, ownership, collaboration, and inclusivity, so everyone can be their best while we boldly pursue games.

That's where you come in.

As a Software Engineer Trainee (Contract) on the League of Legends Champ Tech Team, you will get hands-on experience developing player-facing features and cosmetics on products played by 180 million monthly players.

You will get the opportunity to work within a highly collaborative team, alongside senior developers, allowing you to learn from the best while perfecting your craft in the most unique way possible! 

You will report to the team’s Engineering Manager and work closely under the mentorship of the senior developers in our team.

Please note that Riot Games does not offer relocation packages for this position. You need to be able to work legally in Singapore, without Riot Games’ sponsorship, to be considered.

Responsibilities:

• Be part of the Champion Tech Team that delivers cosmetics features to players in a bi-weekly release schedule
• Work with external vendors and maintain our content delivery pipelines.
• Adhere to engineering excellence which includes: code maintainability, quality, monitoring, operational excellence and documentation.
• Participate in our code reviews for other members of the team.
• Collaborate with non technical partners to ship value to players.

Required Qualifications:

• Be able to legally work in Singapore
• Pursuing a degree in computer science, software engineering, information technology or related fields
• C++ fluency
• Clear understanding of algorithms and data structures
• Clear understanding of engineering practices & design methods
• Strong communication and collaboration skills and the ability to work well in a team

Desired Qualifications:

• Graduating Students preferred.
• Some Experience working on a Video Game (as a Hobby or in a School project)
• Some Experience working with Scripts (Python, Lua, Monoscript, C#)
  
  

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you!

About the Role

At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.

We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.

This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!

Responsibilities

Inference Framework Development and Optimization

• Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
• Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
• Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.

Software-Hardware Co-Design and AI Infrastructure

• Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
• Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.

Requirements

Must-Have:

• Experience:
  • 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
• Technical Skills:
  • Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
  • Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
  • Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
• Programming:
  • Proficient in Python and C++/CUDA for high-performance deep learning inference.
• Optimization Techniques:
  • Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
  • Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
• Soft Skills:
  • Strong analytical problem-solving skills with a performance-driven mindset.
  • Excellent collaboration and communication skills across teams.

Nice-to-Have:

• Experience in developing software systems for large-scale data center networks with RDMA/RoCE
• Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
• Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
• Contributions to open-source deep learning inference projects.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

Job's mission

As a Senior Principal Engineer in Software Engineering, you will shape the software that directly powers ASM’s advanced packaging and hybrid bonding equipment. Your work will have immediate, visible impact on highly complex semiconductor systems, combining robotics, motion control, thermal systems, and process intelligence. In this role, you will lead software architecture, roadmap definition, and execution across multiple products while growing strong engineering teams and influencing global software strategy.

What you will be working on

• Define and own software development plans and roadmaps for advanced packaging solutions, delivering software across multiple hybrid bonding products in parallel.
• Lead end‑to‑end software development with a strong focus on first‑time‑right quality and robust release execution.
• Drive software architecture decisions that support long‑term business, scalability, and product evolution.
• Plan, manage, and execute multiple software baselines, ensuring on‑time delivery across complex development cycles.
• Collaborate closely with software quality teams to embed quality throughout the development lifecycle.
• Work cross‑functionally with process engineering, hardware engineering, and system integration teams to deliver tightly integrated equipment software.
• Partner with global software engineering leaders to align on software strategy, best practices, and technology direction.
• Measure, maintain, and continuously improve internal customer satisfaction.
• Build, mentor, and grow a strong team of software engineers, fostering technical excellence, ownership, and collaboration.
• Promote disciplined software baseline management, build management, and version control practices.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Minimum 10 years of experience in software development and software baseline management.
• Strong hands‑on software development expertise in C++.
• Proven experience with customer‑oriented software baseline management and release planning.
• Solid background in modern software technologies and development practices.
• Demonstrated ability to drive software architecture aligned with long‑term business needs.
• Strong ownership mindset with proactive leadership and a customer‑oriented approach.
• Ability to define clear priorities, set ambitious yet realistic goals, and deliver results.
• Experience managing projects, schedules, activities, and resources effectively.
• Hands‑on experience with Jira, build management tools, and Git version control.

What sets you apart

• Experience in the semiconductor process equipment industry.
• Exposure to advanced packaging process flows such as CoWoS, SoIC, or InFO.
• Experience working in fast‑paced, customer‑driven, and rapidly evolving environments.
• Ability to handle multiple concurrent projects while meeting demanding timelines.
• Strong prioritization skills across complex and competing technical demands.

As a Software Engineer at Hudson River Trading (HRT), the code you write is our business. Our engineers create and maintain critical technology and infrastructure that is integral to the success of our trading. In this role, you will work closely with other engineers across the firm who design trading algorithms and monitor trading in an extremely fast-paced, real-time environment! We are looking for smart programmers who love to code, enjoy being challenged, and can thrive in an open and collaborative company culture.

Profile

• In your spare time you: code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer-related — you'll find like-minded people here
• You are capable of working both independently, as well as part of a team and can analyze and fix problems quickly
• You can look at code, figure out how it works, and identify how to make it better
• You can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), and anywhere in between
• You really like to work with people who push you to be better at what you do

Qualifications

You are a full-time undergraduate or masters student studying computer science or a related field who is eligible for full-time roles in 2026.

• Excellent design, debugging, and problem solving skills
• Working experience with C/C++ or Python is required, as are good CS fundamentals 
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
• Interest in low-level architecture, logic design, and/or verification is a plus

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

​​Algo Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. You will run models live on our high-performance trading infrastructure, and analyze their daily performance to maintain ongoing profitability. Working in close collaboration with fellow algo developers and core developers, you will research, develop, and test novel order execution and model training methods to increase trading efficiency.

Skills

• Brilliant analytical and problem solving skills
• Ability to work creatively and independently on long-term technical problems
• Familiarity with the C++ programming language

Profile

• You possess a bachelor's degree in Math, CS, Stats, Physics, or related field
• You are capable of working independently as well as part of a team
• You can analyze and fix problems quickly
• You learn quickly and apply new skills effectively

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

We are looking for engineers to power Hudson River Trading's continued expansion into global markets. As an engineer based out of our Hong Kong office, you will play a critical role in the process of establishing HRT's presence in Asia-Pacific markets and work closely with our algo and operations teams to ensure the continued success of our trading. You will also be deeply involved in the continuous, ongoing process of optimizing trading in markets HRT already has a presence in.

In this role, you'll be expected to own the process of entering new markets and manage market changes over time. With this responsibility, you'll gain broad exposure to both the technical and business aspects of our trading operation. It is difficult to overstate the impact of this role - you will immediately contribute to the bottom line as HRT begins trading in markets it previously had no presence in and HRT’s trading in existing markets becomes more profitable.

Profile

• In your spare time you: code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related... you'll find like-minded people here.
• You possess a bachelor's degree in Computer Science, Engineering or related field
• You are capable of working independently as well as part of a team
• You can analyze and fix problems quickly
• Can look at code, figure out how it works, and how to make it better
• Can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between
• You really like to work with people who challenge you and make you better at what you do​

Qualifications

• C++ experience required
• Familiarity with UNIX operating systems and comfort at a command line
• Must be fluent (reading, writing and conversing) in English
• Adept at working independently and in self-management
• Experience developing market data and order entry systems a plus

#LI-CP1

We are looking for engineers to power Hudson River Trading's continued expansion into global markets. As an engineer based out of our Singapore office, you will play a critical role in the process of establishing HRT's presence in Asia-Pacific markets and work closely with our algo and operations teams to ensure the continued success of our trading. You will also be deeply involved in the continuous, ongoing process of optimizing trading in markets HRT already has a presence in.

In this role, you'll be expected to own the process of entering new markets and manage market changes over time. With this responsibility, you'll gain broad exposure to both the technical and business aspects of our trading operation. It is difficult to overstate the impact of this role - you will immediately contribute to the bottom line as HRT begins trading in markets it previously had no presence in and HRT’s trading in existing markets becomes more profitable.

Profile

• In your spare time you: code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related... you'll find like-minded people here.
• You possess a bachelor's degree in Computer Science, Engineering or related field
• You are capable of working independently as well as part of a team
• You can analyze and fix problems quickly
• Can look at code, figure out how it works, and how to make it better
• Can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between
• You really like to work with people who challenge you and make you better at what you do​

Qualifications

• C++ experience required
• Familiarity with UNIX operating systems and comfort at a command line
• Must be fluent (reading, writing and conversing) in English
• Adept at working independently and in self-management
• Experience developing market data and order entry systems a plus

#LI-CP1

HRT is seeking quantitative researchers to join our effort in developing mid-frequency systematic trading strategies. Candidates will apply rigorous statistical methods on a wide range of datasets and implement trading models based on novel predictions of market behavior, all while leveraging HRT’s world-class research and trading infrastructure.

Successful candidates will be part of a growing effort and have the opportunity to contribute to all aspects of strategy development, including alpha generation, portfolio construction/optimization and trade execution algorithms. Researchers are responsible for not only prototyping and conducting research into various strategy components, but also writing code to productionalize their ideas; thus, interest and experience in programming are essential.

HRT employees enjoy a collegial and non-siloed environment; candidates will work closely with other researchers to develop new ideas and refine existing trading models.

Skills

• 3+ years of prior work experience in stat-arb required
• Degree in a quantitative or technical discipline (e.g. statistics, computer science, physics, mathematics, economics)
• Exceptional academic credentials
• Demonstrated ability to conduct research using large noisy real-world datasets
• Exceptional attention to detail and desire to understand issues deeply
• Outstanding work ethic and ability to thrive in a fast-paced environment
• Strong numerical programming skills, including proficiency in Python for data analysis and machine learning. Experience with C++ a plus

The estimated base salary range for this position is $175,000 to $300,000 per year, based on job-related skills and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is one of the top algorithmic trading companies in the world. Our research cluster is the backbone of our success; it’s where all of our trading strategies are generated.

We use a large, customized research environment with highly advanced CPU and GPU compute, storage, and networking technology. Our team thinks about the entire software stack, from the user-level API to optimizing performance out of low-level caching. We deal with everything from the theoretical, like fair resource scheduling, to the concrete, like optimizing a trader’s new program run-time performance. 

As a distributed compute engineer in a user-facing environment, you’ll develop and improve on technical solutions that make research as easy and efficient as possible. You’ll work every day with both talented quantitative traders and software engineers across all trading teams.

Responsibilities

• Ensure HRT’s research environment is best in class, with a focus on user workloads
• Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
• Optimize workloads at the user level to speed up user iteration speed
• Tune workloads at the infrastructure level to make them more resource-efficient
• Share metrics and real-time information with users to give insight into workload behavior
• Sit down with users to understand their specific technical needs
• Contribute individually and through leadership and coordination of the above
• Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Strong C++ expertise (daily use preferred)
• Python familiarity preferred
• Experience collaborating closely with quantitative researchers and traders to understand their needs
• Great communication capabilities
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

Working as a coder at Hudson River Trading (HRT) means working on a small, highly productive, and efficient team. You may see "trading" in our name and assume you'll be relegated to some dark corner to code for the "business," but that could not be further from the truth! 

At HRT, the code you write *is* our business, so it is everyone's job to make sure our developers have everything they need to do their jobs well.

HRT’s two main programming languages are C++ and Python. We use C++ for anything latency-sensitive that sits on the critical trading path, and we use Python for everything else. With Python, we monitor live trading, build our distributed computing platform, process large amounts of data, and write all of our internal tools.

As a Python Engineer at HRT, you’ll have an incredible opportunity to work in cutting-edge distributed compute environments at one of the top algorithmic trading companies in the world. You’ll collaborate with researchers and engineers to build high-impact products, help HRT tackle exciting new initiatives, and streamline every part of the trade cycle. 

Responsibilities

• Help us develop software that reaches every office and department at HRT while using the latest technologies and techniques in Python and software engineering to drive improvements to our systems, new and old
• HRT has many high-impact areas where we use Python; here’s what you could work on as a Python Engineer here:
• Improving job orchestration and scheduling in our huge compute cluster
• Building Python tooling and environments for all developers at HRT
• Deploying, automating, and monitoring systems for global trade management and post-trade analysis
• Building systems for hardware verification and tooling
• Writing software that supports data ETL pipelines covering all types of inputs, from market data to image and text processing

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs
• Experience deploying and maintaining applications. You’ve managed an application from the design phase through the production phase
• Ability to look at code, figure out how it works, and identify how to make it better
• You really like to work with people who challenge you and make you better at what you do
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer-related — you'll find like-minded people here

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field
• Deep Python experience is required, daily use of most recent standards preferred
• Advanced  knowledge of the Python ecosystem, including best practices
• Superior design, debugging, and problem solving skills
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

About Akuna:

Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialise in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. At Akuna we have a flat structure, where the best idea wins.

Our Founding Partners, including Andrew Killion, first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, Singapore and London.

• 3+ years of professional work experience in Options Trading or related field
• BS/MS/PhD in a technical field – Engineering, Statistics, Computer Science, Mathematics, Physics, or similar
• Understanding of advanced Mathematics: Calculus, Probability, Linear Algebra, Statistics and Optimization
• Working knowledge of statistical analysis, numerical linear algebra, machine learning or convex optimization
• Intermediate programming skills in Python (C++ is a plus)

About the Role

We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You’ll Be Doing

• Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
• System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
• Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
• Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
• Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
• Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.

What We’re Looking For

• BS or MS in Computer Science or related field
• 5+ years of professional experience in software engineering with strong foundations in distributed systems.
• Expertise with Python or Go or C++
• Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
• Experience with the various stages of the ML development lifecycle
• Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.

Bonus Points

• Hands-on experience with ML model profiling and performance optimization for distributed training.
• Experience managing or working with high-performance compute resources (GPUs).
• Experience with ML frameworks such as PyTorch or Ray.
• Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

At the Riot Singapore Efficiency team, we're driven by innovation and optimization. Our team harnesses the power of Machine Learning approaches and Artificial Intelligence to reimagine the way we build games. By leveraging cutting-edge technology, we aim to streamline development processes, enhance creative workflows, which finally deliver immersive experiences to players around the globe. Join us in pushing the boundaries of what's possible in game development and shaping the future of interactive entertainment.

We are seeking a talented and experienced Data Scientist to join our AI team. As a Senior Data Scientist, you will play a key role in leveraging Machine Learning techniques to drive innovation and efficiency in our game development processes. You will collaborate closely with game teams to accelerate artists' pipelines, streamline workflows, and introduce novel tools aimed at enhancing player experiences.

Responsibilities

• Collaborate on the development and implementation of Machine Learning models aimed at accelerating creative pipeline optimizations, enhancing processes such as content creation, iteration, and integration.
• Work closely with game designers, engineers, and artists to identify opportunities for applying Machine Learning techniques to streamline creative workflows, improve asset generation, and enhance overall efficiency in game development.
• Design and conduct experiments to validate models, measure their impact on creative pipeline optimizations, and drive continuous improvement.
• Stay abreast of the latest advancements in Machine Learning, and gaming technology, and proactively explore innovative approaches to enhancing creative pipeline efficiencies.

Required Skills 

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
• At least 3 years of extensive experience in applying Data Science techniques to real-world problems, with a proven track record of delivering impactful data science solutions in a fast-paced environment.
• Proficiency in programming languages such as Python, R, C, C++, C#, and experience with libraries and frameworks such as TensorFlow, PyTorch, or JAX.
• Strong understanding of statistical analysis, experimental design, and data visualization techniques.
• Experience working with Generative Models, such as Score-based Diffusion Models, Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), to drive creative pipeline optimizations.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Leadership experience, including mentoring junior team members, interns and driving cross-functional collaboration, is highly desirable.

Desired Skills 

• Experience working in the gaming industry or a related field is a plus.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks

• Full relocation support
• Full health insurance for you, your spouse and children
• Open paid time off
• Retirement benefits with company matching
• Life insurance, parental leave, plus short-term and long-term disability
• Play Fund so you can broaden and deepen your knowledge of our players and community through games
• We will double down on your donations of time and money to non-profits

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Options, Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an excellent Quantitative Developer to design, develop new and improve existing pricing and trade execution systems for our Asia Equity Options business. As a member of the desk, you will be integral in the interaction between research and trading teams. You will have the opportunity to work with cutting-edge low latency technologies and will be surrounded by senior technologists providing you with the best possible environment to succeed.

How you will make an impact:

• Building and improving high-availability, production systems in C++ and Python with resource and latency constraints
• Analyzing and discussing requirements from stakeholders
• Facilitating discussions on code implementation, testing, software architecture best practices
• Driving projects and leading new initiatives
• Actively engaging with others on the development team to resolve challenging design and coding issues
• Evaluating appropriate new technologies, tools, frameworks and software components for integration

What you bring to the team:

• 3+ years of hands-on experience in quantitative software development, preferably at a trading firm or systematic fund
• Strong production experience in Python and C++, including Boost, STL and data analysis workflows (pandas, polars, or similar)
• Strong experience working on highly distributed systems
• A background in multi-threaded programming and a strong understanding of hardware/software interaction
• Solid understanding of ML concepts as applied to systematic strategies, from research through production
• Prior experience working on options or derivative products is a plus
• Dedicated team player and a passionate problem solver with strong interpersonal skills
• Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams
• Meticulous attention to details and accuracy in work
• Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-PR1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

DRW is looking for an outstanding Software Engineer with an expertise in C++ to work in our Singapore office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global.  You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems.  

To qualify for this role, you:

• Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints
• Have a background in multi-threaded programming and a strong understanding of hardware/software interaction
• Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting
• Have experience working with C++ libraries like STL and Boost
• Are up to date on the C++23 standards and have opinions about them
• Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time
• Have strong English verbal and written communication skills

Bonus points if you have:

• Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems
• Experience working with Research teams and Quants
• Experience working within gaming or streaming
  
  

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-MM1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Systematic Commodities Portfolio Manager

DRW is looking to bring on a Systematic Commodities PM to join our Singapore team. We are looking for an individual that has experience developing, testing, and executing algorithmic trading strategies across either a single or cross commodity approach. Ideal candidate will be highly systematic in approach and have mid frequency strategies.

Responsibilities:

• Designing, testing and deploying systematic strategies across the Commodity complex
• Act as subject matter expert for Systematic Commodities in improving DRW’s offering of this product and approach
• Understand and manage risk across live strategies
• Conduct rigorous research, backtesting and performance attribution analysis
• Collaborating with technology teams to improve trading infrastructure, algorithms and execution
• Developing a small team to support your strategies to be as optimal and profitable as possible
• Identifying new markets in which to deploy strategies

Key skills:

• A bachelors, masters or PhD in mathematics, statistics, engineering, computer science or related analytical field
• 5+ years of profitable trading experience in a Systematic Commodities environment
• Demonstrable experience in successfully building and managing trades
• Broad experience trading in Asia
• Advances quantitative and analytical skills
• Programming experience – Python, R, C++
• Self-starter with strong proactivity, willingness to drive and own projects and identifies opportunity for impact

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-JW1

The MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies.

As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it.

The Role

• Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment
• Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management
• Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions
• Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability
• Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery
• Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes
• Manage and mentor a team of engineers, fostering technical excellence and accountability

What You'll Bring

• Bachelor's degree in Computer Science, a related field, or equivalent job experience
• 6+ years of hands-on industry experience building scalable, high-reliability backend systems
• Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work
• Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines
• Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs
• Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus
• Working knowledge of a Unix/Linux environment
• Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences
• Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds
• Solid understanding of data structures, algorithms, and system design trade-offs
• Relational and non-relational database experience
• C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts
• Previous people management experience is a plus

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record)
• Autonomy to build your own research pipeline and grow your team

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++
   

The Independent Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Meaningful allocation with growth potential based on performance and scalability
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Opportunity for select engagement with the CIO Office in support of your research and strategy development

#LI-SB1

The Role: 

• We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options

Job Responsibilities (include, but not limited to the following)

• Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
• Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

• PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
• 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies
• Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
• Working knowledge of Linux
• Strong problem-solving abilities
• Strong moral integrity and work ethic

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days
• Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

#LI-SB1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe
• Strong programming skills in mainstream quant programming languages, such as Python and C++

The Book Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore.

Key Responsibilities:

• Algorithm Design & Implementation:
• Develop detailed specifications for new and enhanced execution algorithms.
• Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python.
• Tooling:
• Build robust and reusable tools in Python to improve the overall team productivity.
• Market Impact Modelling:
• Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading.
• Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy.
• Transaction Cost Analysis (TCA):
• Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization.
• Provide actionable insights to portfolio managers and traders.
• Collaboration:
• Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives.
• Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation

What You’ll Bring:

• PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies.
• Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator.

• Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments.

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.
• Please note the team will be prioritizing applicants who are already based in Singapore for this role.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

While we appreciate all applications received, only those candidates selected for an interview will be contacted.  

#LI-Promoted

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We are seeking a Senior Software Engineer to join our Engineering Enablement team and drive company-wide developer productivity. You will build and evolve internal platforms, services, and toolchains that power engineering workflows across Motional.

In this role, you will partner closely with teams across the organization to identify systemic bottlenecks, design scalable, self-service developer platforms that reduce cognitive load, streamline CI/CD workflows, and enable teams to move from code to production with speed and confidence.

Your primary focus will be our internal developer platform and productivity tooling, enabling engineers to ship reliable, high-quality code faster and more efficiently.

What You’ll Be Doing:

• Build scalable backend services, CI/CD pipelines, build systems, toolchains and platforms that can support developer workflows
• Work closely with engineering teams throughout the company to understand their needs, identify pain-points and drive initiatives to improve their development workflows
• Improve system reliability, performance, scalability, and observability across distributed systems by introducing new tools and/or building new features
• Monitor system performance and health, proactively identifying and resolving issues before they impact users
• Contribute to system architecture decisions and technical roadmaps

What We Are Looking For:

• Bachelor Degree in Computer Science, Engineering, or equivalent knowledge and work experience
• 5+ years in Software Engineering or related roles
• Strong background in modern programming languages (Python, Go, C++ are the ones we use).
• Experience with Unix-like environments, software, and toolchains.
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins), cloud platforms (e.g. AWS, GCP) & infrastructure as code (Terraform, CloudFormation).
• Expertise in software development lifecycle including the ability to understand ambiguous goals and convert them into software requirements
• Strong communication and interpersonal skills and ability to thrive in a fast-paced, dynamic environment.

Bonus Points (not required, but a plus):

• Experience in the AV industry or robotics
• Deep expertise with monorepo software development tools and services (e.g. Bazel)
• Previously been on on-call roster to support P1 & P0 systems
• Experience with AI/LLM integration, specifically building/extending Model Context Protocol (MCP) servers to enhance developer productivity and system automation.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

Job Summary:
Join our innovative Calibration team as a Senior Engineer and play a key role in bringing self-driving vehicles to life. You'll work with world-class engineers and leading experts, focusing on calibrating all autonomous vehicle sensors—Lidar, cameras, IMUs, and radars—to build the foundation of our autonomy stack.

What you’ll be doing:

• Develop and implement advanced calibration applications (both indoors and outdoors) for autonomous vehicle systems, pushing the boundaries of performance and safety
• Collaborate with different teams to integrate calibration solutions into our vehicles, ensuring top-tier quality and reliability.
• Utilize extensive internal datasets to validate and demonstrate your research and development effectively.

What we are looking for:

• Bachelor's degree in Computer Science, Robotics, or a related field. A Master’s or Ph.D. is preferred
• 3+ years of specialized experience in calibration, localization, or SLAM for autonomous vehicles, augmented reality headsets, or robotic systems, with a strong record of designing and executing advanced calibration strategies.
• 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems.
• Past experience owning and leading technical development from problem conceptualization through research, implementation, and successful production deployment.
  Past experience working with multiple sensors (LiDARs, Radars, IMU, Cameras).
• Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.
• Experience mentoring and collaborating with others

Bonus Points:

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields

Mission Summary:

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.

These foundational systems include our large-scale data pipelines,  which are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car Perception solutions. It also includes our evaluation and visualization tools, which provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Finally, our active learning loop which continuously selects and incorporates high-value data to improve model accuracy and robustness over time.

What you’ll be doing: 

• Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
• Provide technical guidance, mentorship, and career development opportunities to team members
• Define team goals, priorities, and roadmap in alignment with company objectives
• Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
• Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
• Foster cross-functional collaboration ensuring alignment with broader organizational goals.

What We’re Looking for:

• 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
• BS or MS in Computer Science or a related technical field.
• A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
• Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
• Proven experience in backend development and leading the architecture of complex systems.
• A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
• Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
• Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
• Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team

Bonus Points:

• Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
• Experience with distributed computing frameworks like K8s and Ray.
• A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
• A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
• Proficiency in modern C++ (C++14/17 or later)
• Experience with building products with current LLMs and MCP protocols.
• Experience with GPU-accelerated data processing.
• Familiarity with Pytorch, TensorFlow or other modern ML development platform
• Experience in project management and a history of successfully delivering complex technical projects.

As the Principal Engineer for Cloud Applications in Singapore, you will define the technical roadmap for the platforms that manage and update our autonomous fleet: Command Center and OTA Updates. Moving beyond a Staff-level focus on specific features, you will architect the entire Fleet Management ecosystem to support a 100x scale in global commercial operations. You will bridge the gap between high-scale cloud portals and on-vehicle robotics systems, while establishing the industry standard for SDLC maturity across the group.

What you'll be doing:

• Lead the design and scaling of the Command Center (React/Golang/Python) to support massive growth in fleet size and geographic complexity. You will ensure the platform remains responsive and reliable as it transitions to a high-frequency, commercial-ops portal.
• Own the architectural interface between cloud-based deployment services and on-vehicle hardware. You will oversee the development of C++ and Python services that manage mission-critical updates, ensuring safe, atomic, and verifiable deployments to robotics hardware.
• Elevate the team from high-velocity to high-reliability. You will design and implement organization-wide standards for automated testing, CI/CD safety, and release orchestration, ensuring that every deployment is a non-event.
• Architect the Commercial Ready versions of our fleet tools, ensuring they are decoupled from legacy R&D dependencies and ready for rapid deployment into new global markets and partner ecosystems (e.g., Uber).
• Act as a force multiplier across the Singapore office. You will provide technical mentorship to Staff and Senior engineers, bridging the gap between Cloud, Robotics, and Embedded teams to solve complex, cross-stack architectural challenges.

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 12+ years of professional software engineering experience, with a track record of leading major technical initiatives that impact multiple teams.
• Expert-level proficiency in Golang and Python for backend services, with a deep architectural understanding for large-scale, real-time operational portals.
• Strong technical depth in C++, with experience in hardware-software communication, IoT messaging protocols, or robotics update mechanisms.
• Proven ability to transform the engineering culture of a group, moving from manual or high-friction processes to a state of high automation, reliability, and test coverage.
• Experience in designing new software systems from the ground up using event-driven architecture (EDA) to ensure high scalability, decoupling, and real-time responsiveness.
• Expert at balancing immediate commercial requirements with the long-term technical health and hardening of mission-critical systems.
• Strong experience with major cloud providers (AWS/GCP/Azure) and a solid understanding of containerization and Infrastructure-as-Code principles.

Bonus points (not required):

• Prior experience in the Autonomous Vehicle, Robotics, or large-scale IoT/Fleet Management industries.
• Experience leading technical projects in a globally distributed team.
• Experience with OLAP databases (e.g. ClickHouse) or building observability tools for monitoring and tracing.
• Proven expertise in CI/CD orchestration, build systems (Bazel), frameworks

On our Map Semantics team, you will have the opportunity to work with world-class machine learning (ML) engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi-modal data, enabling mapping and real-time localization.  These objects include lane lines, stoplights, traffic signs and other structures in the built environment.  We are looking for proven technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute projects focused on scene understanding to geometrically represent the environment. These representations will enhance the efficiency of our self-driving vehicle’s capability to map roadways and localize itself using both autonomous vehicle and remote sensing data.
• Develop machine learning models to reliably and efficiently detect the built environment using single or multi-modal sensor data including vision, LIDAR, and RADAR
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams to improve  your products’ on-road performance

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• 7+ years of professional software engineering experience.
• Solid experience in real time 3D Object Detection, Semantic Segmentation or Scene element detection
  Experience working with large scale multi-modal datasets. 
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Extensive experience in metrics design and metrics driven technology development 
• Excellent communication and interpersonal skills

Bonus Points:

• Familiarity with multi-view geometry, factor graph optimization / bundle adjustment
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Remote sensing experience including geospatial coordinate frames, object detection, RPC camera models
• Experience with change detection and updating maps based on newly collected data
• Experience with un/self/semi/weakly-supervised learning techniques
• Strong programming skills in C++ 
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.)

The Role

We are looking for one of our first engineering hires in Singapore — a Forward Deployed Engineer (FDE) who will play a critical role in shaping Addepar’s growth in the region.

Forward Deployed Engineers partner directly with key technical and strategic stakeholders at Addepar’s largest enterprise clients. From building custom data integrations to extending platform capabilities, FDEs operate with autonomy and ownership to deliver meaningful impact for our clients.

At Addepar, FDEs are not part of a services organization. Instead, they act as an extension of the platform, partnering with clients in a highly collaborative way, focused on outcomes rather than billable hours. You will join a global FDE team that continuously evaluates opportunities and priorities, ensuring we are solving the most important and impactful problems for our clients.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment.

What You’ll Do

• Work in small, agile teams with minimal supervision, setting priorities and managing client interactions.
• Take full responsibility for the end-to-end delivery of high-value projects.
• Gain exposure to a wide variety of technical challenges, new technologies, and complex problem-solving opportunities.
• Turn lessons learned from client engagements into scalable, long-term solutions.
• Collaborate closely with Addepar’s engineering and product teams to share insights, inform design strategy, and contribute directly to our core product.
  
  

Who You Are

• Minimum 4+ years of experience as a professional Software Engineer.
• Proficiency in one or more object-oriented programming languages (Java and/or Python preferred), and/or compiled languages (Go, Rust, Scala preferred).
• Experience building systems with relational or NoSQL database storage.
• A degree in Computer Science, Software Engineering, Mathematics, or another technical field, paired with professional software engineering experience.
• Strong ability to lead complex projects, manage timelines, and build strong working relationships.
• Comfortable working in cross-functional and collaborative team environments.

Nice to Have:

• Experience in one or more strongly typed server-side programming languages (e.g., Java, C++).
• Experience with distributed storage and execution frameworks (e.g., Arrow, Spark, Flink, Storm).

Why Join Us

This is a unique opportunity to be one of the first engineers at Addepar Singapore. You’ll have the chance to build innovative solutions for global clients, influence how we grow our presence in Asia, and collaborate with world-class teams across our international offices.

On our Motion Planning team, you'll apply your passion in robotics and software development for production-ready autonomous vehicles. In this role you'll perform cutting-edge research, develop advanced algorithms, and build robust software to generate safe, comfortable, and intuitive routes and motions.

Role responsibilities:

• Lead the research and development of novel algorithms for motion planning in autonomous driving, including but not limited to advanced search-based methods, sophisticated geometry-based methods, and decision making under uncertainty with a strong emphasis on probabilistic approaches.
• Architect and integrate complex combinations of motion planning and prediction algorithms, driving their evaluation and refinement for real-world deployment.
• Design and build a robust, scalable, and high-performance codebase that facilitates rapid exploration, prototyping, and rigorous evaluation of innovative motion planning approaches and algorithms.
• Drive technical collaboration and interface seamlessly with perception and prediction components upstream and trajectory optimization, tracking and control components downstream, ensuring end-to-end system performance.
• Leverage your deep software development and research expertise to teach others better software practices and principles, fostering a culture of technical excellence.
• Guide and mentor junior team members, cultivating a culture of product-focused engineering, rigorous research, and advanced development.

What we're looking for:

• PhD or master in Robotics, Computer Science, Computer Engineering, Mechanical Engineering, or a related field; or equivalent industry experience
• 3+ years of C++ software development, with an emphasis on algorithm development
• Past experience owning and leading technical development on complex features from problem formulation through research, implementation, and deployment in a production environment.
• Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.

Bonus Points

• Experience in AV industry / motion planning, with a proven track record of contributing to state-of-the-art solutions
• Experience with probabilistic models, including but not limited to Gaussian mixture models, Hidden Markov Models, and Particle Filters.
• Experience with Bayesian modeling and inference techniques for decision making under uncertainty.
• Experience with the Bazel build framework

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

As part of our mapping team, you'll collaborate with world-class experts in mapping, software engineering, and machine learning to build cutting-edge, next-generation mapping systems. We’re leveraging the latest technologies to lead the industry in mapping innovation, and we’re seeking passionate engineers who are excited about mapping, autonomous vehicles, and tackling intellectual challenges. This is an exceptional opportunity to contribute to the growth of a company at the forefront of the autonomous vehicle revolution.

What You’ll Be Doing:

• Tackle complex challenges in large-scale mapping by applying state-of-the-art methods and technologies.
• Develop high-quality, scalable software using Python, C++, and other advanced technologies.
• Work with large-scale, diverse data from various sources, including vehicle sensors and geospatial data.
• Mentor and support software engineers and domain experts, fostering their professional growth.
• Collaborate with cross-functional teams, including both technical and non-technical stakeholders, on challenging and impactful projects.

What We Are Looking For:

• Master’s or PhD in Computer Science, Robotics, or a related field.
• 5+ years of experience in state estimation and SLAM
• Deep experience with C++ or Python
• Strong foundation in nonlinear optimization and numerical linear algebra.
• Excellent communication and collaboration skills to work across teams of researchers and engineers.
• A passion for problem-solving and a keen ability to learn and adapt.

Bonus Points (not required, but a plus):

• Experience applying machine learning techniques to mapping or geospatial problems.
• Familiarity with distributed computing and cloud systems.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What you’ll be doing:

• Productionize and deploy our perception models into edge devices 
• Develop and optimize GPU-accelerated algorithms using CUDA
• Develop advanced post-processing and classical vision algorithms
• Drive performance optimization at system level (latency, throughput, memory, determinism)
• Drive code quality through reviews, testing strategies, and performance benchmarks
• Collaborate deeply with ML engineers to:
  • Improve model robustness and deployment readiness
  • Influence training objectives based on downstream system needs
  • Debug and resolve model–system integration issues

What We’re Looking for:

• Bachelor’s Degree. Preferably Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• Minimum 3 years of professional experience and strong proficiency in modern C++ (C++14/17 or later)
• Hands-on experience with CUDA and GPU performance optimization
• Deep understanding of modern and classical computer vision and image processing techniques
• Experience with performance profiling and debugging tools (e.g., Nsight, Valgrind, perf)
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

On our Behaviors team, you have the opportunity to work with world-class ML engineers and research scientists whose mission is to make self-driving vehicles a reality and to create positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for engineers who are passionate about autonomous driving, excited by intellectual challenges,  and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:  

You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:

Senior Engineer:

• Prototype, evaluate, implement, and iterate on solutions
• Familiar with state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with team members to achieve project goals and milestones

Staff Engineer:

• Define and influence the direction of the team, organization, and/or department.
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions 
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data

Senior Engineer:

• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Experience mentoring and collaborating with others

Staff Engineer:

• Effectiveness at leading and executing large, complex technical initiatives 
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

We are seeking highly motivated Master's or PhD students to join our team as a Research Intern to conduct cutting-edge research and development in Localization, Mapping and Calibration. This is an exceptional opportunity to contribute directly to the advancement of autonomous vehicle technology, working alongside a team that is leading the industry in location, mapping and calibration innovation.

The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work; however, the candidate will need to reside in Singapore for the duration of the internship.

What you’ll be doing:

• Conduct advanced research and development on state-of-the-art state estimation problems, specifically focusing on scalability across city and multi-city environments. Research topics including, but not limited to: SLAM methods for city-scale mapping technologies, outdoor sensor calibration technologies, etc.
• Work with large-scale internal datasets to demonstrate the effectiveness of your research.
• Collaborate with different teams to deploy your research results onto autonomous vehicles.
• Publish the research results in papers and patents.

What we are looking for:

• Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study.
• Strong research background in the field of SLAM, state estimation, and/or sensor calibration, with publications in any of the top-tier conferences (e.g., CVPR, ICCV, ECCV, ICRA, IROS, RSS).
• Experience in at least one of the following: applying machine learning techniques to mapping or geospatial problems, working with large-scale mapping datasets or systems, utilizing online calibration techniques for autonomous driving or robotics systems, or demonstrating a strong theoretical and practical background in computer vision (especially sensor calibration/SLAM).
• Strong communication and interpersonal skills.
• Proficiency in C++/Python coding, having experience in onboard programming, with an understanding of real-time systems is a plus.
• Previous experience in autonomous driving is preferred.

• The right candidate will be a self-starter who assumes full ownership of DV tasks and delivers high-quality results.
• Develop test plans at block, sub-system, and chip level.
• Execute SoC-based verification at full-chip and module level verification. Focus on Display subsystem (GPU, Display Controller), Radio Subsystem, SoC integration verification. 
• Experience in ARM or RISC-V based micro-controllers.
• Power-aware methodology (CPF/UPF).
• Write C-based lib packages and tests.
• Architect and implement scalable and reusable module test benches using SystemVerilog and UVM.
• Develop comprehensive test cases, stimulus generation, and checkers to achieve high coverage.
• Automate the test environment for randomized testing and score-boarding.
• Utilize advanced debugging techniques to identify and resolve design and verification issues.
• Perform root-cause analysis and work with design teams to fix identified issues.
• Define and track functional and code coverage metrics to ensure thorough verification.
• Ensure that verification quality meets or exceeds industry standards and project requirements.
• Edge-based AI inference is preferred.

• BSEE/MSEE with 10+ years of experience (seniority depends on years of experience) in block, sub-system, and full-chip verification.
• Technologies: Experienced in ARM M/RISC-V (Preferred) SoC Verification, expert in AMBA AXI/AHB/APB, DMA, Flow Control, Serial Devices, Low Power (CPF/UPF) Verification, 3rd party IP integration verification.
• Experience in Display, Audio domains is a plus.
• Languages: Strong in SystemVerilog (UVM), Verilog, C/C++, Python, Perl, or Makefile.
• Should have delivered multiple chips functioning to specification.
• Identify and manage verification deliverables, milestones, and schedules.
• Proactively identify potential verification risks and develop mitigation strategies.
• Collaborate with design, architecture, and software teams to understand and verify design intent.
• Communicate verification progress, issues, and results to stakeholders and management.
• Strong in understanding multiple architectures, integrating 3rd party IPs/VIPs, and working with mixed-signal designs with low-power design and verification challenges.
• Strong understanding/exposure to Design Verification for low-power battery-operated designs is highly desired.
• C-based verification in an SoC environment is required.
• Experience with ARM processor-based designs and low-power design techniques is a plus.

About WPP Media  

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.   

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.  

For more information, visit wppmedia.com. 

 Role Summary and Impact 

The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients. 
 
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes. 
 
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization. 
 
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients. 

 The AI Solutions Engineer serves as the master builder executing the construction. This highly technical role provides the dedicated, hands-on development support required to forcefully move theoretical architectural visions out of isolated testing environments and into highly secure, Google-approved, enterprise-grade production infrastructures. The AI Solutions Engineer bridges the critical, often perilous gap between a fragile, locally hosted prototype and a highly scalable, robust organizational tool capable of withstanding massive global traffic. 

Responsibilities 

• API & UI Development: Construct complex backend Application Programming Interface (API) connections and develop the secure user interfaces absolutely necessary to bridge the proprietary WPP Open platform with localized campaign tools and highly guarded client data lakes. 

• Live Deployment & Debugging: Execute rapid debugging, performance analysis, and troubleshooting of both machine learning models and underlying cloud infrastructure in real-time to prevent catastrophic performance degradation or service outages during live campaign sprints. 

• Security & Compliance: Strictly document the deployed technical architecture upon the conclusion of active campaigns. Solidify security protocols and data pipelines to ensure absolute compliance with enterprise risk standards and global data privacy regulations. 

• Codebase Handover: Facilitate the seamless handover of the finalized codebase to centralized, operations-driven technology teams, ensuring pristine code quality, proper containerization, and long-term deployment readiness. 

Skills and Experience 

• A minimum of 5 years of applied experience in software engineering, highly technical support, or complex solutions engineering. 

• At least 2 years focused exclusively on deploying machine learning (ML) or natural language processing (NLP) applications in live commercial environments. 

• Exceptional coding and scripting capabilities, primarily utilizing Python, Java, C++, or Go. 

• Deep, academic understanding of data structures, complex algorithms, and object-oriented software design principles. 

• Proven, hands-on experience troubleshooting, debugging, and reproducing obscure issues within advanced machine learning frameworks, specifically TensorFlow, Keras, and PyTorch. 

• Extensive operational experience navigating public cloud services, specifically Google Cloud Platform (GCP) components such as Kubernetes, Compute Engine, and Apache Beam. 

• Thorough understanding of computer networking, peering with private clouds, managing highly distributed systems, and Git version control. 

Key Competencies 

• Vertex MLOps & Cloud Infrastructure Deployment: Capable of establishing robust, automated machine learning pipelines using Vertex AI Pipelines and Google Cloud Platform components like Kubernetes and Compute Engine. Must ensure that generative AI tools are properly containerized to scale securely and withstand massive global traffic during live campaigns. 

• Vertex AI Mastery: Deep, hands-on proficiency with Google Cloud's Vertex AI platform as the exclusive, mandated environment for model deployment. Capable of navigating the Vertex Model Garden, configuring foundational models (like Gemini), and executing parameter-efficient fine-tuning for specific campaign needs 

• Secure RAG & Grounding Pipeline Engineering: Expert ability to build complex Retrieval-Augmented Generation (RAG) architectures within Vertex AI. Must demonstrate high technical acumen in securely connecting generative models to highly guarded, proprietary enterprise data lakes and Customer Data Platforms without exposing PII or violating data governance. 

• Rapid Problem-Solving: Ability to diagnose and repair code-level pipeline failures or UI breakdowns under the extreme pressure of a live campaign sprint. 

• Extreme Psychological Resilience: Thriving in highly volatile, fast-paced deployment environments where prototype code must be hardened instantly. 

Life at WPP Media & Benefits  

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.    

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. 

#LI-Regional

About this role

We are looking for a Staff/Principal Linux Infrastructure Engineer with deep expertise in Linux development, network driver creation, and performance optimization. In this hands-on, high-impact role, you will work directly in our TrustedServer Team to create and refine the core systems that drive ExpressVPN’s infrastructure. This role is ideal for a Linux expert with a record of notable contributions to the kernel or other relevant communities and a history of published research in the field.

What you’ll be Do:

• Develop, optimize, and maintain TrustedServer collaboratively with the team, ensuring this foundational technology continues to serve as the secure backbone of our global services.
• Lead advanced Linux development projects and maintain active contributions to the Linux and relevant communities, with a focus on optimizing network drivers and enhancing system performance.
• Create and maintain dedicated environments and labs to rigorously test and optimize system performance; analyze results and implement improvements that increase system speed, resilience, and scalability.
• Network Driver Development: Develop and refine custom network drivers tailored to the high-demand needs of our digital privacy and performance solutions.
• Write clear, comprehensive technical designs and test plans, ensuring complex infrastructure projects are heavily de-risked and cleanly architected.

What you’ll bring:

• Minimum of 7 years in Linux infrastructure and Linux development, with documented contributions to kernel or relevant repositories.
• Demonstrated experience in network driver development, performance testing frameworks, and significant contributions to the Linux and relevant communities.
• Deep expertise in C++/Rust programming, Linux kernel architecture, and network protocols.
• Advanced capabilities in performance tuning and development of testing frameworks.
• Strong analytical and problem-solving skills, with a hands-on, proactive approach to systems architecture and performance optimization.
• Degree in Computer Science, Computer Engineering, or a related field.

Nice to have:

• History of published research in systems performance, networking, or kernel architecture.
• Expertise in computer security, cryptography, secure coding practices, or public key infrastructure.
• Familiarity with modern VPN protocols, including WireGuard or our own open-source protocol, Lightway.

What we offer:

• Work with a modern tech stack in a strong engineering culture
• Influence on technical decisions and room to innovate
• Continuous learning opportunities and support for professional development
• A motivated, collaborative team with extensive experience
• A strategic role with real technical influence and ownership
• A modern engineering culture with CI/CD, observability, and a strong code review culture
• Purpose-driven work: we value security, quality, and depth over quick hacks

#LI-PS1

Tudor’s Macro Pipeline team seeks a Quantitative Researcher to work within a low latency trading team that currently researches and builds low latency trading models in the liquid futures space.  The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with short to medium horizon.  Suitable candidates will generally have at least 3 years of comparable research experience.

Requirements

• 3+ years of experience researching low latency futures signals and strategies
• An advanced degree (MSc or PhD) from a top institution is preferred
• Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
• Excellent understanding of probabilities, statistics and optimization
• Experience manipulating large datasets, including tick-level data
• Excellent programing skills: experience with both high-level (e.g. Python, R, Julia) and lower-level languages (e.g. C, C++) with fluency in at least one.
• High attention to detail
• Creative thinker
• Entrepreneurial spirit. Enjoys ownership of projects and takes responsibility for them

Compensation

• Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.

Location

• New York, NY, London, Singapore

The Role

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

Key Responsibilities 

1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 
2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 
3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 
4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 
5. Track academic and industry advances in machine learning and present actionable ideas to the team. 

Required Skills & Qualifications

1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 
2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 
3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 
4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 
5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

As a Mechatronics Specialist/Engineer, you will play a pivotal role in designing and optimizing state-of-the-art electromechanical systems. Your expertise will drive the innovation of our motor designs and control systems, enhancing efficiency and performance.

Responsibilities:

• Specify, test, and tune BLDC motors, harmonic drives, and customized gearboxes.
• Design motor control firmware (FOC) for maximum efficiency and torque density.
• Collaborate with mechanical engineers on joint design and thermal management.

Required Skills:

• Deep understanding of electromechanical systems and motor physics.
• Experience writing firmware in C/C++ for microcontrollers.
• Hands-on experience with industrial communication protocols (EtherCAT, CAN bus).

We are seeking a skilled Tactile Sensing & Dexterous Manipulation Engineer (Robotics) to advance the capabilities of high-resolution tactile sensors and dexterous robotic systems. The successful candidate will work on cutting-edge projects to enhance robotic perception and manipulation, contributing to innovative solutions in the field of robotics.

Responsibilities:

• Process data from high-resolution tactile sensors and force-torque arrays.
• Implement slip-detection and compliant control algorithms.
• Train multi-fingered grasping policies for unknown objects.
• Collaborate with cross-functional teams to integrate tactile sensing solutions into robotic platforms.
• Conduct experiments to validate the performance of tactile sensing and robotic manipulation systems.

Qualifications:

• Deep knowledge of contact mechanics and robotic grasping.
• Experience with tactile sensors (e.g., GelSight, BioTac).
• Background in soft robotics or dexterous manipulation.
• Proficiency in programming languages such as Python or C++.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication and teamwork abilities.

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

We are looking for an AI Specialist Engineer to enhance the performance of large language and vision models for on-device inference. Your expertise will be crucial in developing and deploying cutting-edge AI solutions, ensuring optimal efficiency across diverse hardware architectures.

Responsibilities:

• Compress and optimize large language and vision models for on-device inference.
• Develop pipelines for model distillation and hardware-specific compilation.
• Benchmark performance across various NPU/GPU architectures.

Qualifications:

• Expertise in model distillation, pruning, and 4-bit/8-bit quantization techniques.
• Hands-on experience with TensorRT, ONNX Runtime, and edge deployment.
• Strong C++ and Python skills.

Role

As a Software Engineer specializing in Simulation, you will collaborate with senior engineers to build and maintain high-fidelity simulation environments using Gazebo. You will be responsible for implementing features, creating assets, and running validation tests to ensure our digital twins accurately reflect real-world physics and hardware. You will work closely with the simulation and robotics teams to support the development of the Flowstate platform, ensuring that our tools are reliable and efficient for internal and external developers.

How your work moves the mission forward

• Develop and maintain simulation assets and environments using Gazebo and ROS.
• Implement software features that bridge the gap between simulation and physical robot behavior.
• Create and execute automated tests to validate robotic software performance in simulated environments.
• Collaborate with senior engineers to optimize simulation infrastructure for scalability and speed.
• Document technical workflows and contribute to the internal knowledge base for simulation tools.
• Maintain and contribute to the development of open source software.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science or Robotics, or equivalent practical experience.
• 2 years of experience in robotics software development or simulation.
• Proficiency programming in C++ and Python.
• Experience with the Gazebo simulator and ROS.
• Familiarity with physics engines (e.g., Dart, Bullet, ODE, MuJoCo).

Skills that will differentiate your candidacy

• Experience with Universal Scene Description (USD) and Simulation Description Format (SDF), and Unified Robotics Description Format (URDF).
• Familiarity with Entity-Component-System (ECS) architecture for game or simulation development.
• Knowledge of 3D modeling or computer graphics.
• Experience with sensor data or synthetic data generation.
• Experience with cloud platforms (e.g., GCP) for running automated tests or simulations.
• Background in developing plugins for open-source robotics projects.
• Experience working with version control systems and CI/CD pipelines.
• Experience creating interfaces for front end user facing tools.
• Willingness to travel domestically and internationally.