Undead Labs has an opportunity for a Senior UI Engineer II to bring their experience and technical skills to State of Decay 3. The State of Decay franchise has attracted a loyal fanbase of millions of players, and you’ll play a key role in delivering the next installment of our story for them to enjoy.

As a senior member of the team, you will work with a team of UI engineers to design and implement high-quality UI for the game, and influence our processes and practices to continually raise our quality bar. Your skills in software development, debugging, design, and documenting engineering practices will be critical to your success. You’ll tackle complex software engineering problems, lead by example, and support other engineers through teamwork and mentorship in our shared goal of creating an amazing product.

At Undead Labs, we work in highly collaborative, cross-disciplinary teams because we understand that the best ideas are ones we generate together. Our studio operates independently within a network of first-party Microsoft studios. Please note: This position is based in Seattle, WA and follows a hybrid work model, with a minimum of 3 in-studio days per week.

Core Responsibilities and Objectives

• Work collaboratively with your colleagues to prototype, iterate on, and deliver a quality UI solution
• Build custom design and asset pipelines to streamline UI authoring and design/engineering handoffs
• Contribute to the core UI framework and help establish best practices around UI concerns like localization, accessibility, input management, data-binding, and more
• Address UI performance by improving render cost, minimizing memory footprint, JavaScript execution overhead, and more
• Apply your knowledge, critical thinking skills, unique perspective, and ideas to the production of our games. 
• Be proactive in tackling technical issues.
• Provide mentorship to other developers and help shape team-wide development practices and standards to ensure the team delivers high-quality work.

Basic Qualifications

• Shipped at least one title
• Strong HTML/CSS/JS skills, with experience in large-scale or complex applications
• Excellent problem-solving skills and adaptability to changing requirements
• Passionate about developer experience and workflows, with a desire to improve how UI is created
• Pragmatic, with the ability to balance technical needs with business limitations
• Communicate effectively with stakeholders and across disciplines
• 6+ years of experience developing game UI, or equivalent demonstrable experience
• Working knowledge of Unreal Engine (4 or 5, 5 preferred)

Preferred Experience

• Experience with Coherent Gameface
• Experience supporting a live service title
• Experience with Svelte UI framework

Benefits & Perks

Benefits/perks listed below may vary depending on the nature of your employment with Undead Labs and the state in which you work.

• Medical, dental, and vision health insurance (Dependents and partners included).
• Unlimited PTO and 18 company holidays & closure days
• 401k plan with 50% matching
• Subsidized transportation to and from work
• Professional growth resources
• Discounts on the Microsoft Games store

The typical base pay range for this role across the U.S. is USD $180,000.00 - $215,000.00 per year.

The range above reflects the potential base pay across the U.S. for this role (except as noted below); the applicable base range will depend on various factors, such as complexity and responsibility of the role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.

At Undead Labs, certain roles are eligible for additional rewards, including merit increases and an annual bonus. These awards are allocated based on individual performance. Benefits/perks listed here may vary depending on the nature of employment with Undead Labs.

Physical Requirements

Reasonable accommodations can be made to enable individuals with disabilities to perform essential functions.

• Close vision to monitors and screens, consistently working on computer equipment such as keyboards and monitors, long periods of sitting.
• Noise levels are low to moderate in the work environment.

Fullstack Developers at HRT work either on our platform team (i.e. you work on infrastructure & tooling that supports all of our research & trading capabilities) or our acceleration team (i.e. you are aligned with a specific algo research & trading team). All of our Fullstack Developers have internal customers and deeply understand end-user needs. They build backend processes to ingest and transform vast quantities of data, and UIs to visualize and action that data quickly. 

Responsibilities: 

• Work on our in-house distributed-compute framework designed for execution on a large scale within HRT’s compute cluster. This framework serves various teams, with our algo teams being the primary users, particularly for training complex models.
• Work closely with our Algo Developers and traders, building backend processes and UIs for them to oversee trading processes, execute manual trades, assess risk, and research improvements to our strategies.
• Work closely with a variety of senior technical and non-technical users and own projects end-to-end, from inception to gathering and refining requirements, forming and executing a structured plan, and managing ongoing support and iterations to the initial plan.  
• Architect web-based tooling to provide insights and enable real-time actions using financial data, operational data, trading activity, and more using React and Python.

The interview process will evaluate your backend programming skills (primarily Python), and your experience working in JavaScript/TypeScript on a modern web framework (React skills are required!). It is important that you are excited about and comfortable with working on both sides of the stack. All fullstack candidates will go through the same assessment & two technical phone interviews. We will start team alignment discussions if (when!) you get to onsite. To learn more about interviewing for technical and engineering roles at HRT, see this blog! 

Profile

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience working with Python and React
• Experience working with JavaScript or TypeScript
• Strong verbal and written communication skills
• Excellent multitasking and time management skills
• Ability to work independently and collaborate across teams
• Ability to look at a technical system, understand how it works, and identify how to make it better
• Ability to explain complicated topics to both technical and non-technical stakeholders
• Driven by curiosity
• Thrives within a team that consistently challenges you to improve the ecosystem around you

The estimated base salary range for this position is 175,000 to 250,000 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 which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

ABOUT THE TEAM

WHAT YOU’LL DO

As the leader of the engineering team, you will guide a group of talented engineers in building the window into our complex, mission-critical systems.

• Lead and Mentor: Manage and grow a team of 5+ software engineers, fostering a culture of high performance, technical excellence, and collaboration. You will be responsible for the team's composition, including hiring, performance management, and career development.
• Drive Technical Strategy: Partner with Product Management, Design leadership, and other key stakeholders to define the product vision. You will own the technical roadmap, validating capabilities and mapping out timelines to turn ambitious concepts into reality.
• Solve Ambiguous Problems: Tackle complex, non-well-defined problems at the intersection of real-time graphics, data simulation, and user interaction. You will spearhead the architecture and design of robust, scalable solutions.
• Be a Hands-On Contributor: Remain deeply technical and lead by example. You are expected to contribute directly to the C++ codebase, conduct rigorous code reviews, and provide architectural guidance to solve our most challenging technical problems.
• Ensure System Excellence: Uphold and improve client stability by diagnosing and resolving defects. Drive the analysis and optimization of both memory and performance in systems that scale from high-end desktops to mobile AR platforms.
• Mitigate Technical Risk: Proactively identify technical risks and architect elegant solutions, collaborating with broader engineering groups across Anduril to ensure our success.

REQUIRED QUALIFICATIONS

• Proven experience managing and leading a team of 5+ engineers, with responsibility for hiring and performance management
• 10+ years of professional programming experience, with deep expertise in C++ and modern software engineering principles
• Shipped at least one AAA game title or equivalent real-time simulation product in a senior or lead engineering capacity
• Experience owning the technical side of a product roadmap, working closely with Product and Design to translate vision into an executable plan
• A track record of architecting and delivering solutions to complex, open-ended technical challenges in large codebases
• Solid understanding of 3D math and real-time rendering concepts
• Excellent spoken and written communication skills, with an ability to articulate complex technical ideas to both technical and non-technical stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Linux or console platform development experience
• Experience with low-level systems, performance optimization, and memory management
• Experience building tools or visualization clients for complex simulation systems

ABOUT THE TEAM

Anduril's TRS Simulation team owns the ecosystem, frameworks, and guidance that make simulation possible, repeatable, and scalable across the Tactical Recon & Strike business line. We don't just run sims, we define what it means for a simulation to be trustworthy. Our team operates across four pillars: Sim Infrastructure, Sim Fidelity, Sim Integrations, and Training Simulations, supporting products like Altius, Ghost, Bolt, and Anvil from early development through field deployment. Every fidelity improvement, every validated model, and every simulation environment we deliver directly determines whether autonomous systems are ready to fly real missions.

Our vision is one simulation framework that serves every product and every deployment target, from a developer's laptop through CI pipelines, operator training environments, and large-scale HPC Monte Carlo campaigns. The same declarative workspace definition can be composed, extended, and deployed wherever simulation is needed, so teams spend their time on mission problems instead of reinventing infrastructure.

THE ROLE

This role is for someone who loves going deep on a problem. You'll identify where simulated components diverge from real-world behavior at the system level, work with our functional teams who own those subsystems to understand what a better model looks like, then own the integration, optimization, and validation within our simulation framework. The cycle is: analyze the gap, understand the domain, engineer the solution into the framework, and prove the fidelity improvement with data. The problems are genuinely complex, multi-physics, multi-rate, spanning both real-time and faster-than-real-time execution for large-scale Monte Carlo campaigns, and the feedback loop is measured in months, not years: your improvements are validated against real flight data and deployed to operational systems on a cadence that keeps pace with product development.

You are expected to quickly develop working knowledge of the domains you touch (sensors, comms, navigation, environment, autonomy interfaces) and become an effective partner to our teams that own those subsystems. You'll care about performance characteristics, numerical stability, integration correctness, and building the validation tooling that makes fidelity measurable and repeatable. Whether your background is in industry or academia, what matters is demonstrated depth of ownership over complex software systems and the ability to pick up new domains and deliver reliable, performant software within them. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. At the senior level, we expect you to operate across the full breadth of the simulation stack and help shape our team's technical direction.

WHAT YOU'LL DO

• Analyze simulated subsystems within the framework to identify where system-level behavior diverges from real-world data, quantifying gaps and their downstream impact on simulation trustworthiness.
• Partner with functional engineering teams (flight dynamics, perception, guidance, comms) who own subsystem models to understand requirements, integrate their higher-fidelity models into the simulation framework, and validate the integration through statistical analysis.
• Engineer framework-level solutions that enable higher-fidelity models to run efficiently, addressing performance constraints, timing coordination, and numerical integration concerns.
• Build and maintain validation tooling and benchmarks that make fidelity measurable: automated comparison against real-world data, regression detection, and acceptance threshold enforcement.
• Design and run Monte Carlo validation campaigns to verify that fidelity improvements hold across parameter sweeps and edge cases, not just nominal conditions.
• Work across faster-than-real-time simulation and software-in-the-loop (SITL) environments, understanding the performance and fidelity trade-offs at each tier.
• Identify opportunities where industry-standard or academic approaches could improve our simulation strategy, and coordinate with the appropriate domain teams to evaluate and adopt them.
• At the senior level: drive cross-cutting fidelity strategy across the simulation stack, mentor other engineers, and represent the fidelity team's technical perspective in cross-functional design reviews.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field.
• At least 3+ years of professional software engineering experience with a systems language (C++, Rust) and an analysis/scripting language (Python, MATLAB).
• Experience with performance analysis and optimization of complex software systems (profiling, bottleneck identification, latency reduction, computational efficiency).
• Comfort with numerical and scientific computing concepts (integration methods, statistical analysis).
• Demonstrated ability to take deep ownership of a system end-to-end: understand it, identify problems, design solutions, implement them, and validate the results with data.
• Experience building or maintaining automated test/validation infrastructure that enforces correctness over time.
• Track record of working effectively across team boundaries, particularly with domain experts whose systems you need to understand and integrate with.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Additional for Senior candidates:

• 5+ years of professional software engineering experience.
• Experience driving technical strategy and making architectural decisions that affect multiple teams or systems.
• Track record of mentoring engineers and raising the bar for engineering practices within a team.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in a relevant field.
• Experience working with simulation frameworks, game engines, physics engines, or real-time systems.
• Experience with Monte Carlo methods, parameter sweeps, or statistical validation campaigns.
• Familiarity with flight dynamics, control systems, sensor modeling, or other aerospace-adjacent domains (even at a high level).
• Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
• Background in academic research or computational science with a transition (or desire to transition) into applied software engineering.
• Experience with data pipelines for comparing simulation output against real-world reference data.
• Familiarity with HPC environments (SLURM, containerized workloads, cluster computing).
• A bias toward rapid delivery and iteration.

ABOUT THE TEAM

WHAT YOU’LL DO

As the leader of the engineering team, you will guide a group of talented engineers in building the window into our complex, mission-critical systems.

• Lead and Mentor: Manage and grow a team of 5+ software engineers, fostering a culture of high performance, technical excellence, and collaboration. You will be responsible for the team's composition, including hiring, performance management, and career development.
• Drive Technical Strategy: Partner with Product Management, Design leadership, and other key stakeholders to define the product vision. You will own the technical roadmap, validating capabilities and mapping out timelines to turn ambitious concepts into reality.
• Solve Ambiguous Problems: Tackle complex, non-well-defined problems at the intersection of real-time graphics, data simulation, and user interaction. You will spearhead the architecture and design of robust, scalable solutions.
• Be a Hands-On Contributor: Remain deeply technical and lead by example. You are expected to contribute directly to the C++ codebase, conduct rigorous code reviews, and provide architectural guidance to solve our most challenging technical problems.
• Ensure System Excellence: Uphold and improve client stability by diagnosing and resolving defects. Drive the analysis and optimization of both memory and performance in systems that scale from high-end desktops to mobile AR platforms.
• Mitigate Technical Risk: Proactively identify technical risks and architect elegant solutions, collaborating with broader engineering groups across Anduril to ensure our success.

REQUIRED QUALIFICATIONS

• Proven experience managing and leading a team of 5+ engineers, with responsibility for hiring and performance management
• 10+ years of professional programming experience, with deep expertise in C++ and modern software engineering principles
• Shipped at least one AAA game title or equivalent real-time simulation product in a senior or lead engineering capacity
• Experience owning the technical side of a product roadmap, working closely with Product and Design to translate vision into an executable plan
• A track record of architecting and delivering solutions to complex, open-ended technical challenges in large codebases
• Solid understanding of 3D math and real-time rendering concepts
• Excellent spoken and written communication skills, with an ability to articulate complex technical ideas to both technical and non-technical stakeholders
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Linux or console platform development experience
• Experience with low-level systems, performance optimization, and memory management
• Experience building tools or visualization clients for complex simulation systems

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, an automated trading firm based in NYC, 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.

As a member of the AI Tools team, you will be responsible for increasing productivity across the company by integrating the newest AI tools into our users’ workflows. Whether it’s for a Python developer writing a web app, a C++ developer speeding up order execution, a researcher investigating trade signals, or even Business Development meeting with vendors - we are focused on deploying what works.

This is an exciting opportunity to help build and define the AI tooling ecosystem at HRT. You will have to navigate the rapidly evolving options in this space, and adapt them to our own internal systems. You might be fixing auth one day, comparing vendors the next, and coding a new MCP the third. 

Responsibilities

• Help us develop software that improves productivity for every office and department at HRT while using the latest technologies and techniques in software engineering and the broader AI tooling ecosystem.
• HRT has many high-impact areas where we are integrating AI tools; here’s what you could work on:
• Writing a custom MCP wrapper around internal resources.
• Fine-tuning a new code completion model.
• Deploying a new coding assistant across all developer and researcher environments.
• Developing evaluations and iterating on an autonomous coding agent.
• Collaborating with security to improve AI sandboxing.
• Presenting and educating users on best practices.

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.
• You’re comfortable with defining direction in an environment of ambiguity and uncertainty. The AI tooling space changes rapidly.
• 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 AI and computer-related.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Python experience is required, daily use of most recent standards preferred.
• C++ and JavaScript (TypeScript, React) experience a plus.
• Experience with the AI tooling ecosystem (use coding assistants/agentic workflows, ideally have built your own customizations).
• Superior design, debugging, and problem solving skills.
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication.

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.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

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.

For more info about interviewing at HRT, see this blog!

Hudson River Trading (HRT) is a leading quantitative trading and investment firm specializing in multi-asset class strategies. At the core of our success lies the power of our compute cluster, the foundation where all our trading strategies are conceived and refined.

We’re looking for innovative minds to enhance the data storage libraries and tools leveraged by our Research teams to generate cutting-edge strategies. As a Storage Developer, you’ll dive deep into C++ and advanced storage solutions, working at massive scale to enable groundbreaking research. Surrounded by a team of exceptional developers constantly pushing the boundaries of their expertise, you’ll be amazed at the impact you can achieve.

Profile

• You’re able to talk both high-level distributed systems design trade-offs and low-level OS-level details
• You’re able to balance being detail-oriented with good prioritization of what matters now vs. later
• You thrive in collaborative environments and have a strong sense of ownership
• In your spare time you code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related

Responsibilities

• Work with a small team of skilled developers to create distributed storage systems customized to fit HRT’s needs
• Stay informed about the current “state of the art” and help bridge the gap between here and there
• Understand our Research team’s storage and compute needs, and build for the next generation of research

Qualifications 

• Proficient C++ experience is required, daily use preferred 
• Distributed systems experience required (ability to reason about fault tolerance, sharding, trade-offs, and designing for simplicity and robustness under failure) 
• Previous experience developing databases, distributed filesystems, search infrastructure, or similar ideal but not required 
• Ability to work productively in a Linux environment
• Knowledge of UNIX operating systems, low-level systems-level performance issues, and networking

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.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our bottom-up approach to projects and collaborative coding environment empower talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are always seeking highly motivated and skilled Software Engineers across many different teams at HRT. These roles demand exceptional programming fundamentals, sharp debugging abilities, and strong critical thinking and communication skills. Engineers at HRT work on a wide variety of platform and trading-adjacent projects. Examples include:

• Improving scheduling efficiency of distributed computations, speeding up research iteration.
• Enhancing developer experience through language tooling, jupyter extensions, and AI tools.
• Leveraging LLMs to make operational support tasks faster and more efficient.
• Profiling computer usage at all levels, from system calls to large scale distributed computations.
• Building systems to interact with trading venues and monitor risk.

Responsibilities

• Design, develop, and maintain robust, efficient, and scalable software systems.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Contribute to all phases of the software development lifecycle, from ideation to deployment and support.
• Deliver exceptional experiences for internal users; your success will be directly tied to your ability to understand the needs of the people around you and apply your technical skills to efficiently meet them.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with applications of cutting-edge technology is preferred; being a core contributor to said technology is even better.
• Candidates should be prepared for technical interviews in Python. While there is no hard language requirement for these roles, proficiency in one this language will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

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.

For more info about interviewing at HRT, see this blog!

AI Software Engineer – Cloud AI Platforms

At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

What’s the role all about?

As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

How will you make an impact?

• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities

• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally

What we’re looking for

• 5+ years of software engineering experience, strong focus on full-stack web development
• Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
• Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
• High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment
• Communicate effectively with both technical and non-technical stakeholders

Nice to have

• Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
• Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
• Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience with sandboxed execution environments for safely running AI-generated code
• Built research tools, experimentation platforms, or scientific software
• Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
• Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
• Experience building automation or internal platforms
• Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
• Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
• Experience with alternate JS runtimes — Bun, Deno
• Built open-source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)

Representative Projects

Things you might build in this role:

• Interfaces for collecting and managing human feedback on model outputs at scale
• Experiment orchestration platforms — launch, monitor, and analyze complex AI research runs
• Visualization tools that help understand model behavior and identify failure modes
• Reusable components and frameworks that enable rapid development of new AI applications
• Sandboxed execution environments for safely running AI-generated code
• AI-powered personalization engines — tutoring, content generation, adaptive features
• Workflow builders that let non-engineers orchestrate AI capabilities visually
• Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira

Lead Software Engineer

The Lead Software Engineer designs and evolves core services within the NICE CXone platform, building scalable cloud systems that support enterprise customers worldwide. This role combines strong software engineering fundamentals with modern development practices, including AI-assisted engineering tools and agentic workflows that accelerate delivery and improve code quality.

Engineers in this role collaborate closely with product managers, system analysts, and architects while mentoring other engineers and driving solutions to complex platform challenges.

What You'll Do

• Design, build, and own scalable distributed services that power critical components of the NICE CXone platform.
• Lead the design and evolution of complex systems across multiple services, balancing performance, reliability, and maintainability.
• Write high-quality, maintainable code and provide thoughtful code reviews that help raise the engineering bar across the organization.
• Design and implement automated testing and quality strategies that improve system reliability and engineering velocity.
• Partner with product management, system analysts, architects, and other engineering teams to shape technical solutions and deliver meaningful outcomes for customers.
• Provide technical leadership and mentorship, helping engineers develop strong engineering judgment and ownership.
• Take ownership of production systems, diagnosing issues, resolving defects, and improving platform stability and resilience.
• Promote modern engineering practices including automation, observability, maintainable architecture, and AI-assisted development workflows that accelerate development and system understanding.
  
  

Engineering Culture at NICE

At NICE, we believe great engineers own outcomes. Our teams focus on solving meaningful problems for customers and delivering results rather than simply completing tasks.

Engineers in this role are trusted to think critically, propose solutions, and make technical decisions that move systems forward. There is rarely only one correct path to solving a complex engineering challenge, and we value experimentation, iteration, and continuous improvement.

Our engineering teams are also actively adopting AI-augmented development practices to accelerate software delivery and improve system quality. Engineers regularly use modern AI tools and workflows to assist with development, debugging, testing, and system analysis.

Examples include:

• Using AI tools such as Claude Code, GitHub Copilot, or similar to assist with coding, debugging, and documentation
• Leveraging AI for test generation, refactoring, and system exploration in complex codebases
• Automating engineering workflows such as dependency analysis or large-scale code investigation

We do not expect every candidate to be an expert in these tools today, but we are looking for engineers who are curious about modern development workflows and excited to continuously improve how software is built.

Required Qualifications

• Bachelor’s degree in Computer Science, Business Information Systems, or a related field (or equivalent practical experience).
• 8+ years of professional software development experience designing and building production systems.
• Strong engineering judgment with the ability to evaluate tradeoffs and design practical solutions to complex technical challenges.
• Experience building and operating distributed services using Go, Java, and Spring.
• Experience designing and maintaining AWS-based microservices architectures.
• Deep understanding of object-oriented design, common design patterns, and maintainable software architecture.
• Experience developing automated tests and working within CI/CD development environments.
• Experience working in agile development environments with strong collaboration across engineering, product, and architecture teams.
• Experience leveraging modern developer tooling, including AI-assisted development platforms (such as Claude Code, GitHub Copilot, or similar) to improve engineering productivity.

Preferred Qualifications

• Experience working with large-scale distributed systems or real-time platforms.
• Experience with MongoDB, DynamoDB, or similar distributed database technologies.
• Experience building services using REST APIs, WebSockets, or gRPC.
• Experience working in CI/CD environments and modern automation frameworks.
• Experience serving as a technical lead or mentoring engineers.
• Experience working in telecommunications, telephony systems, or contact center platforms.
• Experience integrating AI/ML capabilities into software platforms or working with AI-assisted development workflows.
• Experience with information security practices.

Why Join NICE Engineering

You’ll work on a large-scale cloud platform supporting enterprise customers worldwide while helping shape the next generation of engineering practices at NICE.

Our teams build highly reliable distributed systems while adopting modern development workflows and AI-assisted engineering practices that accelerate innovation without sacrificing quality.