July 2, 2026

Real-Time Systems Engineer

Senior • On-site

163,272 - 224,496 USD/yr

Torrance, CA

Purpose

We are seeking a talented and motivated Software Developer to join our Robotics & AI Software team. In this role, you will work closely with experienced automation and software engineers to develop and implement innovative algorithms for task and motion planning and computer vision in robotic systems. You will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms, including symbolic task planning, robot kinematics, collision detection, optimization, and computer vision.

The Role

  • Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases.
  • Collaborate with other teams to ensure seamless software integration.
  • Contribute to software solutions for robot task and motion planning.
  • Design, implement, and optimize algorithms within the planning framework.
  • Assist in the integration and testing of computer vision software.
  • Document code, algorithms, manuals, and procedures.
  • Stay updated on advancements in robot planning algorithms and technologies.

Basic Qualifications

  • Ability to lawfully access information and technology subject to US export controls.
  • Bachelor's degree in Computer Science, Robotics, or related field with 5+ years of professional experience.
  • Proficiency in C++ and Python.
  • Strong knowledge of data structures, algorithms, and design patterns.
  • Understanding of industrial robotics, manipulator kinematics and dynamics, trajectory generation, and communication protocols.
  • Expertise with search algorithms, optimization methods, and constraint satisfaction.
  • Experience with MoveIt and ROS.
  • Knowledge of unit testing, CI/CD pipelines, and containerization technologies such as Docker and Kubernetes.
  • Strong communication and collaboration skills.
  • Ability to work with cross-functional teams.

Preferred Qualifications

  • Master's or Ph.D. in Computer Science, Robotics, or related field with 3+ years of professional experience.
  • Understanding of OpenCV and PCL.
  • Experience with C# and TypeScript.
  • Exposure to Generative AI in robotics.
  • Publication record or open-source contributions in robotics.

Work Environment

Hybrid

Compensation

Compensation is based on job level evaluated through the interview process.

  • E05 / Senior: $141,380 - $194,390
  • E06 / Staff: $163,270 - $224,500

Pay Range: $141,380 — $224,500 USD

What We Offer

  • Competitive salary, equity plan, and performance-based bonus opportunities.
  • Paid vacation, sick leave, holidays, year-end shutdown, and parental leave.
  • Comprehensive health and wellness coverage with HMO and PPO options.
  • Life insurance and disability coverage.
  • Learning and development reimbursement opportunities.
  • Collaborative and high-performing work environment.

Equal Employment Opportunity

Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected characteristics.

Additional Information

Duties and responsibilities may be modified or reassigned based on business needs.

E-Verify

The company participates in E-Verify to confirm employment eligibility in the United States.

Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)

Qualified applicants with arrest and conviction records will be considered for employment.

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Hybrid

Las Vegas, NV

🏢 Summary: Technical leadership role focused on motion planning and trajectory optimization for autonomous vehicles, driving architecture, algorithm development, and scalable software systems for production robotaxis. The position involves cross-functional collaboration, optimization solver integration, and development of safety-critical real-time systems using C++ and robotics expertise. Hybrid or remote work is available with competitive compensation and benefits. 🗂️ Requirements: 5+ years of production-grade C++ software development, Experience with real-time, low-latency, or safety-critical systems, Degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field, Experience leading large-scale technical development initiatives, Expertise in motion planning and Model Predictive Control (MPC), Knowledge of planning under uncertainty and vehicle dynamics/control, Strong understanding of non-linear and numerical optimization algorithms, Experience with optimization solvers in embedded real-time environments, Ability to design scalable software architectures, Experience with closed-loop simulation environments 📃 Skills: C++, Python, MPC, IPOPT, Gurobi, OSQP, CasADi, Robotics, Optimization, Simulation, CI, Embedded 🏢 Description: Mission Summary: On our Motion team, you will serve as a technical leader, leveraging your deep expertise in motion planning, robotics, and software development to architect and advance the capabilities of production-ready autonomous vehicles. In this role, you will drive innovative research, own systemic design processes, and spearhead the implementation of performance-critical algorithms that enable safe, comfortable, and intuitive autonomous vehicle behaviors across autonomous vehicle fleets. If you are passionate about autonomous driving, thrive on solving challenging motion planning problems, and are eager to make a significant impact in a rapidly evolving field, this role offers the opportunity to work on cutting-edge autonomous systems. Technical Scope: - Architect state-of-the-art solutions for motion planning and trajectory optimization algorithms to guarantee safe, smooth, and comfortable vehicle motion. - Own the structural design of robust and scalable software by evaluating, benchmarking, and integrating diverse optimal control techniques and motion planning algorithms. - Establish code quality benchmarks and lead architectural code and design reviews using C++ across cross-functional services and technologies. - Define modern development toolchains, including testing frameworks, high-fidelity simulation, and continuous integration systems. Role Responsibilities: - Define and communicate complex system trade-offs and technical concepts to engineering peers and leadership. - Lead architectural co-design with teams focused on behavior planning, prediction, and vehicle control. - Author project proposals and technical roadmaps spanning multiple safety-critical vehicle subsystems. - Mentor engineers and foster a culture of rigorous research and product-focused engineering. What We're Looking For: - 5+ years of production-grade C++ software development experience in real-time, low-latency, or safety-critical applications. - Bachelor's, Master's, or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field preferred. - Proven experience leading large-scale technical initiatives from problem formulation through production implementation. - Deep expertise in Model Predictive Control (MPC), motion planning architectures, planning under uncertainty, vehicle dynamics/control, and closed-loop simulation. - Strong mathematical understanding of non-linear and numerical optimization algorithms, including interior point methods, sequential quadratic programming, and convex/non-convex optimization. - Experience deploying and scaling optimization solvers such as IPOPT, Gurobi, OSQP, and CasADi in real-time embedded environments. - Python experience for simulation, data analysis, or rapid prototyping is a plus. Work Arrangement: - Hybrid schedule with in-office collaboration in Boston, Pittsburgh, or Las Vegas, or fully remote. Compensation and Benefits: - Salary range: $205,000—$272,500 USD. - Additional compensation may include bonus or company equity. - Benefits include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. Equal Opportunity: - The company is committed to diversity, inclusion, and equal employment opportunity. - Participation in E-Verify is required for employment eligibility verification.

Technology

Motional

Software Engineer, ML Dev Enablement

Mid

Hybrid

Las Vegas, NV

🏢 Summary: Software Engineer role focused on building and scaling ML infrastructure and cloud development environments for autonomous driving research. The position involves developing Agentic AI tooling, optimizing distributed ML training systems, and improving GPU utilization across multi-cloud and Kubernetes-based environments. Candidates will collaborate with ML researchers and engineers to enhance performance, automation, and developer productivity. 🗂️ Requirements: BS or MS in Computer Science or related field, Strong knowledge of software engineering principles, Strong knowledge of distributed systems, Proficiency in Python or Go or C++, Experience with AWS or other cloud platforms, Experience with Kubernetes, Experience with ML development lifecycle 📃 Skills: Python, Go, C++, AWS, Kubernetes, PyTorch, Ray, GPU, LLM 🏢 Description: Mission Summary: We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers researchers and engineers to rapidly innovate on deep learning models for autonomous driving. We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. In this role, you will design multi-cloud setups to maximize GPU availability, drive model optimization, and build next-generation Agentic AI tooling. What You'll Be Doing: - Build Agentic AI tooling to automate workflows, streamline the ML lifecycle, and improve developer productivity. - Drive continuous development of core ML infrastructure and the CDE platform using Kubernetes and distributed systems. - Partner with ML researchers to profile and optimize distributed training jobs and data pipelines, focusing on I/O, memory management, and network communication overhead. - Collaborate with ML engineers and data scientists to bridge infrastructure and model development needs. What We're Looking For: - BS or MS in Computer Science or related field - Strong knowledge of software engineering principles and distributed systems - Strong proficiency with Python or Go or C++ - Experience with AWS services or other cloud platforms - Experience with container orchestration using Kubernetes - Experience with the ML development lifecycle Bonus Points: - Experience with ML model profiling and distributed training optimization - Experience working with GPUs or high-performance compute resources - Experience with ML frameworks such as PyTorch or Ray - Experience building Agentic AI systems and LLM-driven developer tools Additional Information: - Hybrid schedule available with in-office collaboration in Las Vegas, or fully remote. - Compensation includes base salary with possible bonus or equity. - Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. - Salary Range: $123,000—$163,500 USD

Technology

Divergent 3D

Automation & Controls Engineer / Senior Automation & Controls Engineer

Senior

On-site

Torrance, CA

128,520 - 192,780 USD/yr

🏢 Summary: Automation & Controls Engineer role focused on developing advanced robotic manufacturing and industrial automation systems for next-generation factory modules. The position involves PLC, HMI, and SCADA development, controls architecture, commissioning, and collaboration with cross-functional engineering teams in a fast-paced R&D and production environment. 🗂️ Requirements: 5+ years industrial automation controls experience, IEC 61131-3 Structured Text programming, Ability to access US export-controlled information, Experience with PLC, HMI, and SCADA systems, Experience with industrial automation hardware and motion control, Experience with industrial networking, Experience with electrical control panel design, Experience with industrial safety systems and risk assessments, Experience with SCADA and factory data platforms, Technical leadership experience 📃 Skills: PLC, HMI, SCADA, IEC61131-3, StructuredText, Beckhoff, TwinCAT, NEC, NFPA79, UL508A, EPlan, AutoCAD, Fieldbus, MotionControl, Networking, FSoE, PROFIsafe, SCADA, Databases, Dashboards, Robotics, Git, SOLID, UnitTesting 🏢 Description: Purpose The Automation & Controls Engineer will support the development of flexible robotic manufacturing systems, core to the Divergent Adaptive Production System (DAPS). The ideal candidate has a track record of successfully architecting and deploying advanced automated systems in a quick changing, start-up environment. This role will take a hands-on execution approach and use their hardware and software skills to create bleeding-edge industrial automation systems, support production operations, and democratize factory data to support key business decisions. The Role - Develop PLC, HMI & SCADA software & controls architectures for the next generation of DAPS factories & factory modules. - Contribute to automation standards, frameworks, best practices, and platform selection. - Architect new advanced automation systems, ultimately leading to detailed design, development, and commissioning of first article factory modules. - Develop controls systems for new and experimental processes in an R&D environment. - Understand and steer production operations requirements for factory modules leading to increased overall factory OPE through better development of modules and factory data. - Work closely with cross-functional technical teams to ensure that program deliverables and milestones are defined, scheduled, and executed on time and budget. - Support engineering teams in achieving resolution of any gridlock and drive hands-on execution under intense time constraints. Basic Qualifications - Ability to lawfully access information and technology that is subject to US export controls. - 5 years of industrial automation controls experience in dynamic environments. - IEC 61131-3 Structured Text programming experience. Preferred Qualifications - Strong knowledge of NEC, NFPA 79, UL508A standards. - Experience designing electrical control panels using EPlan or AutoCAD. - Advanced experience working with the Beckhoff TwinCAT & hardware ecosystem. - Advanced experience with industrial automation hardware, fieldbus interfaces and motion control. - Advanced industrial networking experience. - Experience with industrial safety systems, risk assessments and safety over fieldbus protocols including FSoE and PROFIsafe. - Experience developing SCADA and factory data management platforms, industrial databases, dashboards. - Experience with industrial robot platforms, offline programming, and virtual commissioning. - Experience with industrial electrical schematic tools such as EPlan or AutoCAD Electrical. - Experience with software engineering practices, object-oriented programming, SOLID principles, unit testing, and development tools such as Git. - Technical leadership experience in defining standards, methods, processes, and training. Work Environment - Office and factory environment. - 100% onsite. - Minimal travel. - Work near moving mechanical parts. Compensation - Engineer II / E04: $111,300 - $166,960 - Senior / E05: $128,520 - $192,780 What We Offer - Competitive salary, equity plan, and discretionary bonus opportunities. - Paid vacation, sick time, company holidays, and year-end shutdown. - Paid parental leave. - Comprehensive health and wellness benefits including HMO and PPO options. - Company-sponsored life insurance and disability coverage. - Learning and development reimbursement opportunities. - Collaborative and high-performing work environment. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected characteristics. E-Verify The company participates in E-Verify to confirm employment eligibility in the United States. Los Angeles Fair Chance Initiative for Hiring Ordinance Qualified applicants with arrest and conviction records will be considered for employment.