Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD.
Responsibilities
Build, develop, and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation applications.
Collaborate with multi-functional teams to build backend services and AI Agents to create end-to-end SDG solutions.
Implement scalable and resilient solutions for distributed computing environments.
Optimize the performance and reliability of cloud applications and services.
Develop user interfaces and frontend components as needed.
Requirements
Bachelor or higher degree in computer science, engineering, or equivalent experience
Nice to have: NVIDIA GPU technology
Nice to have: Omniverse programming
Nice to have: AI agents
Nice to have: content generation using LLM and Generative AI models
Serve as a technical escalation point for live site operations, supporting incident response, system performance monitoring, and continuous improvement of automation systems.
Compensation
The base range for this position in the posted location is $82,000.00 - $113,300.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.
Responsibilities
Serve as a technical escalation point for live site operations
Support incident response activities, including triage, escalation coordination, issue mitigation, and communication with internal stakeholders
Partner with Software, Hardware, Systems, Controls, and Operations teams to diagnose and resolve production-impacting issues
Monitor system performance, respond to alerts, and help maintain high system availability and reliability
Document incidents, resolutions, root cause findings, and corrective actions to support continuous improvement
Requirements
Bachelor’s degree in Engineering, Electrical Engineering, Computer Science, or a related technical field, or equivalent experience
As a DevOps Engineer, you will be a key driver in enhancing our CI/CD pipelines and ensuring the robustness of our AWS cloud infrastructure. Leveraging your expertise in AWS, Kubernetes, Infrastructure as Code, and Observability, you will build and maintain scalable systems and provide operational support to cross-functional teams through infrastructure automation.
Responsibilities
Manage and improve cloud infrastructure using AWS and infrastructure-as-code via Terraform.
Build and maintain containerized environments with Kubernetes, ensuring scalability, resilience, and performance.
Implement, and optimize CI/CD pipelines using GitHub Actions to ensure rapid, reliable, and secure software deployment.
Develop and maintain scripts, tools, and automation in Golang, Python, or Java for infrastructure management and monitoring.
Improve system observability by integrating and optimizing logging, monitoring, and alerting solutions.
Manage full‑cycle finance functions including budgeting, forecasting, financial modeling, revenue analysis, corporate reporting and various ad‑hoc reports and projects for the Crane Nuclear business.
Responsibilities
Partner with the President and CFO to align financial strategy with business objectives and drive profitable growth.
Provide financial insights and recommendations to support strategic decision‑making and operational efficiency.
Lead the annual Operating Plan and forecasting process to deliver on‑time data to Corporate via HFM.
Lead monthly and quarterly review and analysis of key Balance sheet, Income Statement and Free Cash Flow Statement.
Develop the Operating Plan model(s) using historical information and working with VP/GM to complete the initial sales/cost/margin analysis; summarize change points and communicate with the leadership team.
Requirements
BA/BS in Accounting or Finance
Master’s degree desirable
Nice to have: Master’s degree
Nice to have: experience with manufacturing company
Lead the creation of engineering plans, mentor junior team members, collaborate with cross-functional teams, implement advanced machine learning solutions, develop, optimize, and deploy large-scale models, run A/B tests, and partner with product managers to deliver content to millions of users.
Compensation
Base salary is determined by your location, skills, and experience. Salary ranges: Geo-1: 182,000.00 - 246,000.00 USD Annual; Geo-2: 164,000.00 - 222,000.00 USD Annual
Responsibilities
Lead engineering plans to address challenging problems
Mentor junior team members
Collaborate with engineering teams and product managers
Implement latest advancements in machine learning
Develop, optimize, and deploy large-scale machine learning models
Develops and maintains software configuration management tools to support configuration identification, control, reporting, and delivery of both internally developed and externally purchased commercial-off-the-shelf (COTS) software products
Support hardware design environment, EDA tools, and related libraries as an intern.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Hourly Salary USD 40.00 - 46.00 in California
Responsibilities
Develop new scripts or update existing scripts that monitor status and well-being of our design environment and servers
Help debug and root cause issues that arise with CAD design tools and their related environment
Interact with IT team and identify user issues that require IT involvement
Help download and install complex design tools from vendor’s website
Write simple to complex scripts that run on Linux or PC
Requirements
Bachelor’s degree in Electrical Engineering or Computer Engineering
The likely salary range for this position is $123,250 - $166,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Responsibilities
Collaborate with application teams, senior engineers, security personnel, and government stakeholders to operate enterprise tooling and provide responsive, people‑focused technical support.
Install, configure, operate, and maintain Jira, Confluence, Jira Service Management, GitHub Enterprise, Slack, CloudBees CI, IDM/Okta, associated plugins, CI/CD build agents, and supporting server, container, Kubernetes, and AWS infrastructure.
Perform platform upgrades, patching, backups, user and access provisioning, license administration, certificate management, and preventive maintenance while supporting high availability and zero‑downtime operations.
Monitor platform health, availability, utilization, capacity, APIs, integrations, and logs; respond to alerts and incidents; troubleshoot technical issues; and escalating complex problems to senior engineering staff.
Automate infrastructure and recurring operational tasks with Terraform, CloudFormation, Ansible, Packer, and scripting languages while maintaining runbooks, standard operating procedures, API documentation, training materials, and application‑team onboarding resources.
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