Credit Acceptance Corporation
San Francisco, California
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details
11/09/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Run a team that owns the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via code reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Design, implement, and optimize real-time rendering pipelines (e.g., forward, deferred, ray tracing). Develop and maintain shaders using HLSL, GLSL, ShaderLab, or Shader Graph. Responsible for graphics API Integration work with low-level APIs like DirectX 11/12, Vulkan, Metal, or OpenGL ES. Guide junior and mid-level engineers, conduct code reviews, and enforce best practices across studio teams. Take responsibility for major subsystems (e.g., lighting, post-processing, material systems). Work closely with artists, designers, and other engineers to align visual goals with technical feasibility. Help technical artists create efficient content workflows and troubleshoot visual issues. Translate deep technical topics into actionable insights for studio and platform teams and leadership. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience:10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics,collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/09/2026
Full time
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Run a team that owns the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via code reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Design, implement, and optimize real-time rendering pipelines (e.g., forward, deferred, ray tracing). Develop and maintain shaders using HLSL, GLSL, ShaderLab, or Shader Graph. Responsible for graphics API Integration work with low-level APIs like DirectX 11/12, Vulkan, Metal, or OpenGL ES. Guide junior and mid-level engineers, conduct code reviews, and enforce best practices across studio teams. Take responsibility for major subsystems (e.g., lighting, post-processing, material systems). Work closely with artists, designers, and other engineers to align visual goals with technical feasibility. Help technical artists create efficient content workflows and troubleshoot visual issues. Translate deep technical topics into actionable insights for studio and platform teams and leadership. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience:10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics,collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/05/2026
Full time
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.