The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems
  
  
  

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-VIETNAM
#LI-BRAZIL
#LI-INDIA

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• 5+ years of experience in software development and interest in running real-world applications at scale.
• Excellent problem-solving abilities and judgment with strong attention to detail
• Demonstrated experience developing scalable and robust software.
• Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas…
• Working knowledge in various database and messaging technologies such as SQL, Redis, Kafka etc
• Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
• Experience with Linux environment and shell scripting.
• Bachelor’s degree in Computer Science or related discipline or equivalent job experience.
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-VP1

#LI-VP1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• Experience in HTML, CSS, JavaScript/TypeScript
• 5+ years of demonstrated experience developing scalable and robust software web applications
• Experience with popular JavaScript libraries and tools such as React.js, jQuery, NPM
• Expertise in Python web frameworks such as Django, Flask and others
• Experience with CI/CD and version control systems
• Experience with GCP
• Working experience with SQL databases (MySQL, PostgreSQL)
• A solid background in Unix/Linux environment
• Excellent debugging and problem-solving skills
• Good knowledge and understanding of algorithm and data structures 
• Finance experience is not required

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• 5+ years professional software development experience across full stack systems
• Backend Capabilities: Experience building and maintaining server-side applications and services
• API Development: Experience designing, building, and consuming RESTful APIs
• Database Knowledge: Understanding of database design, query optimization, and data modeling
• Frontend Expertise: Strong knowledge of HTML, CSS, JavaScript, and modern frontend frameworks/libraries
• Web Architecture: Solid understanding of web application architecture, including client-server communication
• Cross-Browser Development: Ability to build applications that work consistently across browsers and devices
• Responsive Design: Knowledge of responsive design principles and implementation techniques
• Preferred Qualifications:
  • Experience developing backend systems with Python
  • Experience with modern JavaScript frameworks (React, Angular, Vue, etc.)
  • Familiarity with state management solutions
  • Experience with various API technologies and patterns
  • Experience with containerization and deployment automation
  • Understanding of CI/CD principles and tools
  • Background in performance optimization for web applications
  • Knowledge of accessibility standards and implementation

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-VP1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You’ll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale.

What You’ll Bring:

• BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline
• 5 years of demonstrated experience programming scalable and robust software in Python
• Demonstrated experience building or maintaining data pipelines
• Basic knowledge of probability and statistical theory
• Experience working in Linux environments
• Experience with building and operating ML inference pipelines.
• Experience with using LLM for structured data extraction.
• Strong communication skills; ability to express complex concepts in simple terms
• Experience in the financial services industry is a big plus
• Knowledge of workflow scheduling techniques (e.g. Airflow) is a plus
• Prior experience working with text data in a data science/quantitative project environment

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

• 5+ years professional software development experience with a strong focus on backend systems
• Computer Science Fundamentals: Strong knowledge of data structures, algorithms, system design, and software architecture principles
• Database Proficiency: Deep understanding of database systems, query optimization, schema design, and data modeling
• Network Knowledge: Solid grasp of network protocols, API design, and secure communication implementations
• Full-Stack Understanding: Familiarity with modern web architecture, frontend technologies, and how components interact across the stack
• Proven ability to design and build scalable, maintainable systems
• Strong analytical and problem-solving skills
• Experience developing and maintaining production Python applications
• Experience with distributed systems design
• Familiarity with containerization and orchestration tools
• Background in performance optimization and systems scalability
• History of contributions to significant technical projects

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!
  
  #LI-VP1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a Senior Site Reliability Engineer to join the team. You will build and operate the infrastructure and tooling behind WorldQuant's data ingestion pipelines — systems that onboard, validate, and deliver large-scale datasets to the firm's research platform. This is a 70% build / 30% operate role. You'll spend most of your time engineering automation, observability, and developer tooling, while also participating in on-call rotations and incident response for production data pipelines. You'll partner with engineering, analyst, and research teams to ensure reliability at scale — this requires excellent analytical skills, clear communication, and the ability to collaborate across teams.

What You'll Do:

Build (70%):

• Design and develop automation, monitoring, CI/CD, and reliability features for the data onboarding pipeline
• Develop and maintain internal infrastructure and services that reduce toil and improve pipeline reliability
• Build observability solutions — dashboards, alerting, log aggregation — using Grafana, the ELK stack, and Vector
• Design and implement CI/CD pipelines, test automation, and release management workflowsWrite infrastructure-as-code for provisioning, scaling, and managing platform components: Kubernetes, bare metal hosts
• Integrate and extend tools such as Redis, Celery, MySQL

Operate (30%): Keep production data pipelines healthy and respond to incidents

• Participate in on-call rotation, respond to production incidents, and drive post-mortems
• Define and track SLOs/SLIs for pipeline reliability, latency, and data freshness
• Diagnose platform performance and reliability issues, driving them to root cause
• Create and maintain runbooks for common operational scenarios
• Plan capacity and optimize resource utilization

What You'll Bring

• 8+ years of experience in SRE, DevOps, or platform engineering roles
• Linux expertise: Power user proficiency in Linux with ability to manage infrastructure, deploy services, and troubleshoot production systems
• Python proficiency: Strong scripting and automation skills; experience building CLI tools, API clients, monitoring integrations, and operational tooling in Python
• Kubernetes & containers: Deep hands-on experience with Kubernetes — deploying, scaling, debugging, and managing production workloads. Familiarity with Helm, resource management. Solid experience with Docker
• Observability: Hands-on experience with monitoring stacks — Grafana, Prometheus, ELK (Elasticsearch, Logstash, Kibana), or similar. Experience designing dashboards, alerts, and SLO-based reliability tracking
• CI/CD & infrastructure-as-code: Experience designing and maintaining CI/CD pipelines (GitLab CI, or similar), including test automation and release management. Familiarity with Ansible or similar IaC tools
• Databases: Working knowledge of relational databases (MySQL/PostgreSQL), query tuning, and operational database management
• Message queues & streaming: Experience with Kafka, Redis pub/sub, or Celery for event-driven architectures
• Networking & APIs: Understanding of network fundamentals, DNS, load balancing, and REST/gRPC APIs
• Incident management: Experience with on-call rotations, incident response, post-mortems, and runbook-driven operations
• Leadership & management: Proven track record of leading a team — mentoring engineers, driving technical roadmaps, coordinating cross-team initiatives, and managing priorities. Comfortable owning team delivery and representing the team to stakeholders
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development and operations workflow — treating AI as a force multiplier for automation, incident analysis, and toil reduction
• Nice to Have:
  • Cloud platforms: Exposure to GCP or AWS for compute, storage, and managed services
  • Data tools: Familiarity with Apache Arrow, gRPC, or columnar data formats
  • Big data platforms: Familiarity with Hadoop or Apache Spark for large-scale data processing
  • Programming languages: C/C++, Golang, Scala, JavaScript
  • Financial services or data-intensive industry background
  • SRE culture: Familiarity with Google's SRE book principles — error budgets, toil tracking, blameless post-mortems

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration.

What You'll Do:

• Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale
• Architect data storage and processing solutions, including schema design, query optimization, and data modeling
• Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers
• Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries
• Take ambiguous requirements and break them down into deliverable, well-engineered solutions
• Diagnose and resolve complex production issues - applying strong analytical and systems thinking
• Improve engineering practices: testing, CI/CD, observability, and documentation

What You'll Bring:

• 8+ years of professional software development experience
• Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code
• System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies
• Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing
• Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization
• Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory
• API design: Experience designing clean, well-documented REST/gRPC APIs
• Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation
• Nice to Have:
  • Python mastery: Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations
  • Observability and distributed tracing: Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production
  • DevOps practices: Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform)
  • Programming language versatility: Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering
  • Team leadership and management: Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations
  • Message queues and streaming: Experience with Kafka, Redis, or similar event-driven architectures
  • Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks
  • Frontend / full-stack awareness: Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards
  • Financial services or quantitative finance background
  • Open-source contributions or a public portfolio of technical work

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

• Design and build data pipelines and the data layer.
• Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
• Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
• Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
• Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.

What You’ll Bring:

• Degree in a technical or quantitative discipline from a top tier institution
• 3 to 8 years of working experience in software engineering
• Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages
• Experience with effective code version control, as well as Continuous Integration and Deployment.
• Exceptional communication skills in both verbal and written form.
• Excellent problem-solving abilities and judgment with strong attention to detail.
• Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
• Motivated by the transformational effects of technology-at-scale.
• Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial 
• Experience in finance is a plus but not required

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We are looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance.

What You’ll Bring:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science
• Python programming proficiency
• Familiarity with data structure and algorithms
• Strong understanding of software development principles and methodologies
• Excellent communication and interpersonal skills
• Interest in finance, quantitative trading or financial data a plus

What We Offer:

• Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday
• We offer a strong culture of learning and development: training courses, library, speakers, share and learn events
• Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people
• Premium Health Insurance and Employee Assistance Program
• Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family
• Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc.
• Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams
• Happy-hour with tea break, snacks and meals every day in the office!

#LI-QM1

SUPPLIER DEVELOPMENT ENGINEER (STARLINK)

SpaceX is developing a low latency, broadband internet system to meet the needs of consumers across the globe. Enabled by a constellation of low Earth orbit satellites, Starlink will provide fast, reliable internet to populations with little or no connectivity, including those in rural communities and places where existing services are too expensive or unreliable. We are looking for talented, creative, and driven engineers to develop, drive, and maintain suppliers, from initial concept development to full scale production.

As a Supplier Development Engineer focused on Final Assembly, Test and Packout for Starlink, you will play a critical role in ensuring the quality, reliability, and scalability of the user terminal manufacturing at our global suppliers.

RESPONSIBILITIES:

• Planning, proposing, and leading experiments to produce timely and accurate analyses used to drive design, development, and supply chain decisions, with a focus on scalability for high volume manufacturing.
• Assessing the suitability of a fabrication technology for a given part design, including its potential for automation and cost-effective mass production.
• Planning validation exercises to demonstrate initial feasibility as well as manufacturing capability at high volumes, incorporating throughput modeling and yield optimization.
• Analyzing results of validation exercises and provide technical recommendations to enhance efficiency and reduce variability in large-scale production.
• Reviewing progress of development activities at supplier locations and serve as point of escalation for critical process related issues, ensuring alignment with high volume ramp-up requirements. 
• Drive process development and capability assessment activities, reviewing part design documentation to ensure alignment with process capability for high volume manufacturing, including DFM principles for scalability and automation.
• Assigns specific tasks and work with SpaceX suppliers to support process development and/or data gathering activities aimed at achieving consistent high throughput and low defect rates. 
• Set clear goals for results and provide timely reviews of performance throughout program, emphasizing metrics for production efficiency and cost per unit.
• Establish validation procedures to figure out acceptance of tooling into development builds as well as mass production, incorporating statistical process controls and capacity planning for high volume output. 
• Review supplier tool design, process flow, equipment selection, DFM, and DOE proposals, with emphasis on their suitability for high volume manufacturing, such as automated lines and rapid cycle times.
• Identify shortfalls and corrective actions to ensure design compliance and scalability to meet production demands.
• Work with supplier engineering teams to map out process development exercises, secure resources, and commit to schedules in line with program goals, including ramp-up plans for high volume output.
• Assess supplier readiness to support build events and production ramp, evaluating infrastructure for sustained high throughput and supply chain resilience.
• Identify potential execution issues and provide recommendations to mitigate risk, focusing on minimizing downtime and optimizing yield in mass production environments. 
• Apply solid understanding of quality control and manufacturing concepts to develop specific Product Quality Plan (PQP) appropriate to program and commodity, tailored for high volume manufacturing with advanced statistical methods and automated inspection.
• Coordinate all Quality Engineering functions for a program, serving as project manager to lead efforts at supplier locations, ensuring robust processes for large-scale production.
• Actively participate in the program planning and monitoring process assuming responsibility for key deliverables at all milestones, including quality gates for volume ramp-up. 
• Provide technical direction and guidance to other Quality Engineers supporting the implementation of the PQP, promoting continuous improvement for high yield operations.
• Assess measurability and creatively address concerns directly with stakeholders, incorporating real-time monitoring tools for high volume lines.
• Identify and direct studies to implement improvements in measuring method where appropriate, such as adopting AI-driven analytics for defect prediction. 
• Establish audit procedures appropriate to program and supplier to ensure adherence to SpaceX quality standards, with frequency scaled for high production volumes.
• Implement FAI and Cp/Cpk reviews of mechanical parts, extending to ongoing process capability monitoring for sustained high volume performance.

BASIC QUALIFICATIONS:

• Bachelor's degree in an engineering or STEM discipline.
• 1+ years of experience in one of the following: supply chain engineering, supplier development/quality, manufacturing, or design engineering.

PREFERRED SKILLS AND EXPERIENCE:

• Experience in PCBA manufacturing.
• Professional experience with SMT processes (e.g., screen printing, pick-and-place, reflow, wave soldering, and inspection).
• Engineering degree in electrical or mechanical engineering.
• Experience with statistical process control (SPC), Six Sigma certification, or Lean manufacturing principles applied.
• Proven track record of production ramp-up for high-volume electronics manufacturing, preferably in consumer electronics.
• Strong understanding of PCBA failure modes, defect analysis, and quality control methodologies (e.g., 8D, Fishbone, Pareto, PFMEA, DOE, SPC), with the ability to develop Product Quality Plans (PQP), implement FAI and Cp/Cpk reviews, and establish audit procedures tailored for high production volumes.
• Hands-on experience with failure analysis.
• Experience in analyzing large datasets and dispositioning hardware based on data.
• 5+ years of experience in SMT engineering, including leadership roles in supplier development or process engineering for complex consumer electronics systems and/or 5+ years of experience in Final Assembly, Test and Packout.
• Expertise in advanced SMT technologies, such as fine-pitch components, BGA/CSP assembly, selective soldering, and high-mix/low-volume to high-volume transitions.
• Knowledge of environmental testing and reliability standards for consumer electronics (e.g., vibration, thermal cycling).
• Prior experience in the consumer electronics industry, particularly with high volume hardware assembly.
• Strong project management skills, with the ability to manage multiple suppliers and projects simultaneously in a fast-paced environment.

ADDITIONAL REQUIREMENTS:

• Position is based in VN and requires being onsite - remote work not considered.
• Must be willing to work long hours and weekends when needed to meet critical deadlines.
• Ability to travel: Up to 50% work week travel may be required to suppliers within Vietnam.

As a Software QA Engineer, whilst being technical and hands-on capable, you will oversee and input to all aspects of quality assurance including applying industry best practices, developing new testing solutions and methods, and establishing metrics. Managing the successful delivery of projects will require you to plan, coordinate and lead activities across the full delivery lifecycle. This will include working closely with the department’s Product Managers, coordinating with QA and developers, as well as liaising with key project stakeholders as required.

This role offers challenges across a wide variety of projects and responsibilities, including the opportunity to influence the future direction of the department and systems used across the business.

Major Responsibilities  

• Follow and evolve QA processes to ensure the use of industry-accepted best practices.
• Develop and execute test cases, scripts, plans and procedures including regressions tests.
• Ensure effective and efficient application of test processes and tools using techniques such as White box, Grey Box, Black box, Test-to-Pass, Test-to-Fail
• Troubleshoot and investigate defects for the software applications.
• Report defects found during testing using Jira as a defect tracking tool.
• Conduct new functionality and regression tests, determine and report issues for follow-up.
• Collaborate with the business to assess or diagnose problems and suggest possible solutions.
• Support end users during User Acceptance Testing phase.
• Build and maintain good communication with all stakeholders involved in the SDLC while working close with them during the different phases.

Additional Responsibilities

There is a strong possibility that this role will also take on Scrum Master responsibilities, which may account for approximately 10 to 20 percent of the overall workload. These responsibilities may include facilitating Scrum ceremonies, supporting sprint planning and retrospectives, removing impediments, and helping the team continuously improve its delivery practices.

Prior experience as a Scrum Master is not required, although it would be considered an advantage. What is essential is a willingness to learn and develop Scrum facilitation skills with the support and guidance of peers.

Qualifications, Skills & Experience

• Minimum of 5 years working in a similar role
• Experience in software business analysis and/or software quality assurance.
• Experience with defect tracking and test management tools (e.g., JIRA, TestRail, Zephyr).
• Good understanding of using Postman or similar tools for testing APIs
• Ability to troubleshoot issues and manage priorities effectively
• Ability to create future-proof reusable test cases
• Comfortable working with remote teams
• Excellent personal organisation and ability to prioritise and carry out multiple tasks
• Able to influence and drive projects to meet key milestones and overcome challenges
• Possess the ability to work in a fast-paced environment that supports production and maintenance level changes
• Comfortable working without routine supervision
• Excellent verbal and written communication skills