Skip to content
Shield AIShield AISan Diego, CA

Staff Engineer, Modeling & Simulation (R4869)

Develops high-performance C++ models and infrastructure for aircraft simulation pipelines, enabling faster-than-real-time testing and validation for autonomous systems. Requires 7+ years in simulation software with expertise in dynamics, aerodynamics, and modern C++.

150k – 220k/yr
On-site7+ YOEBackend Engineering

About the role

Responsibilities

  • Develop models and infrastructure for the integrated simulation pipeline in C++.
  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
  • Implement test scenarios and write unit, system, and regression tests.
  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
  • Contribute to platform-agnostic simulation tooling to accelerate current and future aircraft design and development efforts.
  • Perform verification and validation (V&V) analysis activities on modeling tools.
  • Conduct system performance analysis and generate reports and visualizations.
  • Utilize best practices in C++, simulation architecture, and performance engineering.

Required Qualifications

  • BS or MS in Computer Science, Aerospace, Robotics, or related field.
  • 7+ years of experience in simulation software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
  • Strong understanding of rigid-body dynamics, kinematics, aerodynamics, and sensor mechanics.
  • Proven experience developing or integrating simulation systems for robotics, aerospace, and/or autonomous systems.
  • Ability to debug complex build and runtime environments (CMake, package management, logging, and profiling tools).
  • Experience with software testing tools (GTest, etc.).
  • Experience with simulation V&V.
  • Strong collaboration and communication skills across software, hardware, and systems disciplines.

Preferred Qualifications

  • Grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.
  • Familiarity with aircraft and flight physics modeling.

Skills

C++C++17CmakeGtestPythonCI/CDRigid-Body DynamicsKinematicsAerodynamicsSimulation V&VMulti-ThreadingPerformance Optimization
Parallel

Member of Technical Staff, Retrieval & Indexing

ParallelUnited States

Build and operate large-scale web indexing systems including corpus selection, searchable structures, quality/freshness models, and low-latency query serving. Requires deep expertise in information retrieval and distributed systems.

150k – 300k/yr
On-site7+ YOEBackend Engineering
Fluidstack

Member of Technical Staff

FluidstackSan Francisco, CA +3

Build core primitives for entity ownership, audit, authorization, and orchestration. Own domain models for power, datacenters, and chips while enabling AI agents to safely operate production systems.

150k – 250k/yr
HybridBackend Engineering
Addepar

Staff Backend Software Engineer - Platform Integration

AddeparNew York, NY

Seeking a Staff Backend Software Engineer to join the Platform Integrations team, focusing on building client onboarding solutions and data systems. The role involves leading projects, writing well-designed code, and mentoring other engineers.

150k – 234k/yr
On-site7+ YOEBackend Engineering
Parallel

Member of Technical Staff, Developer Integrations

ParallelPalo Alto, CA +1

Designs and builds robust API integrations connecting the platform to third-party AI tools, creating custom nodes, plugins, and connectors. Requires hands-on experience in AI platforms, API debugging, and strong focus on developer experience.

150k – 200k/yr
On-siteBackend Engineering
Deeptune

Member of Technical Staff

DeeptuneNew York, NY

Develops backend and infrastructure for high-fidelity simulation environments enabling AI agents to learn real-world tasks via reinforcement learning. Requires strong fullstack skills in Python/Go/TypeScript and experience delivering major impact at top companies or as a founder.

150k – 300k/yr
On-siteBackend Engineering