3 дня назад
Simulation Platform Engineering Lead (Autonomous Construction)
128 470 - 208 770$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Simulation Platform Engineering Lead (Autonomous Construction): Building and operating shared simulation platforms and backend services for digital twins, robotics, autonomy, and verification workflows with an accent on distributed systems, GPU-enabled computing, and cloud-native infrastructure. Focus on designing execution and lifecycle services, integrating NVIDIA Omniverse and Isaac Sim, and improving scalability, observability, reliability, and developer productivity.
Location: Full-time onsite at the Irving, Texas office, five days per week. Domestic relocation assistance is available, and visa sponsorship is available for eligible applicants.
Salary: $128,470–$208,770 per year.
Company
develops construction equipment and technologies for autonomous construction sites, combining physical AI, simulation, sensing, and edge computing.
What you will do
- Lead the design, implementation, integration, and operation of simulation platform and backend services for digital twins, robotics, autonomy, and verification.
- Own simulation execution and lifecycle services, including job submission, configuration, scheduling, monitoring, result collection, and failure recovery.
- Define APIs, SDKs, service contracts, developer tools, command-line utilities, and self-service workflows for engineering teams.
- Build scalable cloud, on-premises, and GPU-enabled solutions using Kubernetes, Docker, distributed systems, infrastructure automation, and AWS or Azure.
- Improve CI/CD, automated testing, packaging, artifact management, deployment, observability, reliability, security, and performance.
- Lead integrations with NVIDIA Omniverse, Isaac Sim, Unreal Engine, scenario systems, and related simulation frameworks while mentoring engineers and coordinating across technical teams.
Requirements
- 8+ years of software engineering experience, including leadership of complex technical implementation and system integration.
- Experience building simulation platforms, developer platforms, distributed systems, backend services, or cloud-native applications.
- Hands-on expertise in one or more relevant programming languages, including C++, Python, Go, Java, or C#.
- Strong experience with Kubernetes, Docker, Linux, CI/CD pipelines, infrastructure automation, software packaging, and release practices.
- Knowledge of simulation architecture, workload orchestration, GPU or HPC workloads, observability, reliability, performance engineering, networking, security, and verification or validation.
- Bachelor’s degree in Engineering, Computer Science, Software Engineering, or a related discipline; a master’s degree is preferred.
Nice to have
- Experience with NVIDIA Omniverse, Isaac Sim, Unreal Engine, Gazebo, AirSim, CARLA, or comparable simulation technologies.
- Experience with GPU-based workloads, HPC environments, distributed execution, or large-scale engineering compute.
- Experience with SIL, HIL, automated regression testing, and continuous integration of simulation.
Culture & Benefits
- Medical, dental, and vision benefits.
- Paid time off, holidays, volunteer time, parental leave, and adoption benefits.
- 401(k), HSA, FSAs, disability benefits, life insurance, and voluntary benefits.
- Career development, tuition reimbursement, employee discounts, and incentive bonus opportunities.
- Employment is contingent on successfully completing a drug screen.
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