Staff Software Engineer, Simulation Job at Kodiak Robotics (Mountain View)

Staff Software Engineer, Simulation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

160200.00 - 246300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

7+ years of applied experience developing complex evaluation, simulation, or test frameworks
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions
Strong written and verbal communication, driving decisions, communicating risk, and giving constructive feedback to diverse stakeholders
Bachelor's or higher degree in Computer Science, Engineering, or equivalent experience

Job Responsibility

Architect large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation
Lead cross-functional initiatives with Autonomy, Systems Engineering, Simulation, and Data teams to tightly integrate team-owned test operations and evaluation products into regular development workflows and release decision processes
Invent novel methodologies and deliver implementation to quantify and characterize the trustworthiness and effectiveness of simulation test and evaluation products at scale
Drive technical roadmaps and strategic priorities while partnering cross-functionally to integrate new simulation technologies aligned with AV goals
Own and refine key simulation evaluation metrics and KPIs used for readiness and safety decisions
synthesize and present results and tradeoffs to stakeholders
make insights readily available to partner teams through interactive dashboards
Maintain a high technical standard through architectural design, design reviews, and code reviews, setting patterns and best practices for the broader team

What we offer

Medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer – Discrete Event Simulation & Route Optimization

The Autonomous Robotics Center (ARC) is a multidisciplinary organization develop...

Location

United States , Austin, Texas; Mountain View, California; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Operations Research, Applied Mathematics, or a related field
PhD or equivalent experience preferred
10+ years of software engineering experience with a strong focus on algorithms, simulation, or optimization
Strong skills in Python, C++, C#, or similar languages, with a track record of shipping production-quality software
Deep experience implementing and optimizing shortest-path and routing algorithms (e.g., Dijkstra, A*, flows, matchings, search on large graphs)
Solid expertise in probability, statistics, and stochastic processes applied to modeling and simulation (e.g., Monte Carlo simulation)
Experience running large batches of simulations or distributed experiments (cloud or on-prem)
Excellent communication and collaboration skills, with a history of influencing architecture and technical direction
Practical experience with simulation frameworks (e.g., SimPy, AnyLogic, Arena, or custom DES frameworks)

Job Responsibility

Design and implement core algorithms for discrete event simulation, scheduling, routing, graph-based modeling, and system optimization
Build and maintain DES models of complex systems (e.g., production lines, AMR flows, logistics networks), including event logic, resources, and KPIs
Build and run large-scale simulation experiments and translate results into actionable recommendations for throughput, cost, and reliability improvements
Develop and maintain core data structures and services for maps, graphs, and spatial databases
Develop production-quality software (primarily in Python and C#) and expose capabilities via stable APIs and internal tools
Partner with cross-functional teams (manufacturing, robotics, data, and platform engineering) to connect models with real-world telemetry and digital twins
Define and champion best practices for algorithm design, simulation modeling, testing, and observability
Mentor engineers and provide technical leadership on algorithms, modeling, and software design

What we offer

Relocation benefits

Fulltime

Staff Software Engineer – Secondary Driving System

At General Motors, our Embodied AI teams are redefining what’s possible in drive...

Location

United States , Sunnyvale

Salary:

218800.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
or equivalent practical experience
8+ years of professional software engineering experience building production systems in robotics, autonomous vehicles, or other complex real‑time/control systems, including significant experience in perception and/or prediction
Strong proficiency in modern C++ (e.g., C++14/17 or later) in large, multi‑contributor codebases
experience using Python for tooling, data analysis, and ML experimentation
Demonstrated experience leading technical design and delivery of perception, tracking, or prediction systems in real‑time environments, including: Multi‑sensor fusion across camera, radar, and/or lidar (e.g., object‑level fusion, occupancy/freespace fusion, early/late fusion architectures)
Classical computer vision and geometric algorithms (feature extraction, multi‑view geometry, stereo, SfM, SLAM/visual odometry)
Multi‑object tracking (Kalman/extended/unscented filters, track‑to‑track fusion, track lifecycle management)
Motion prediction for road users (analytical kinematic models, maneuver‑based prediction, or learned trajectory forecasting models)
Proven track record of delivering reliable, high‑quality robotics or autonomous driving software to production, including: Testing strategies (simulation, HIL, scenario‑based testing, regression suites)

Job Responsibility

Serve as a technical lead for SDS software across multiple components of the stack, setting direction for algorithms, architectures, and system interfaces across features and releases
Own the end‑to‑end technical strategy for key SDS behaviors and features, spanning perception/prediction integration, planning, controls, and system‑level interactions
Balance hands‑on technical work with cross‑team leadership: you will still design and implement critical components in modern C++, while also guiding other senior and mid‑level engineers to deliver at scale
Collaborate closely with experts in perception, tracking, prediction, state estimation, localization, mapping, planning, controls, systems engineering, and safety to deliver robust, fail‑operational behaviors for Super Cruise and future products
Define technical vision & architecture
Set the technical direction for SDS software components with a focus on correctness, robustness, and predictable runtime behavior under tight latency and compute budgets
Architect scalable, modular multi‑sensor perception pipelines for camera, radar, and lidar, including detection, classification, lane/road feature extraction, freespace/occupancy, and environmental context
Establish and evolve interfaces and contracts between perception/prediction and upstream/downstream components (state estimation, localization, mapping, planning, controls, autonomy management)
Lead high‑impact projects
Lead design and delivery of multi‑object tracking systems (e.g., Kalman/extended/unscented filters, IMM, probabilistic data association, track lifecycle management) that provide stable, high‑quality tracks under real‑world noise and edge cases

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer - ADAS Visual Experience

We are seeking a Level 8 Staff Software Engineer to lead complex Android Automot...

Location

United States , Milford; Sunnyvale

Salary:

189300.00 - 290700.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field, with 6-9 years of relevant software engineering experience
or equivalent practical experience with 10-12 years delivering production software.
Staff-level experience designing and shipping complex software systems with multi-team scope, broad technical ambiguity, and production accountability.
Strong Android Automotive or Android platform development experience, including services, lifecycle, IPC, threading/concurrency, system integration, performance analysis, and production debugging.
Hands-on experience building vehicle, embedded, infotainment, ADAS, robotics, simulation, gaming, or other real-time visualization software.
Strong 3D rendering experience using technologies such as OpenGL, Vulkan, Filament, Unity, Unreal, Android graphics stack, scene graphs, shaders, GPU profiling, or similar rendering frameworks.
Demonstrated system design skill across application, middleware, data, and platform boundaries, with the ability to define interfaces, sequence diagrams, data flows, state machines, and validation strategies.
Proven execution accountability: ability to own roadmaps, commitments, risks, dependencies, and release quality without day-to-day direction.
Experience diagnosing complex performance and reliability issues involving memory, CPU/GPU utilization, latency, frame drops, race conditions, service lifecycle, or cross-process communication.
Strong written and verbal communication skills, including the ability to influence architecture decisions across teams without direct authority.

Job Responsibility

Lead architecture, design, and delivery of Android Automotive software for ADAS HMI, camera/recording controls, and signal-driven visualization features.
Define end-to-end system designs spanning Android Automotive UI, Android services, SoC middleware, ADAS data services, perception interfaces, platform integration, and vehicle signal inputs.
Design and evolve 3D rendering capabilities for real-time ADAS visualization, including scene composition, rendering pipelines, asset/data integration, performance optimization, and stability under vehicle resource constraints.
Own complex multi-team workstreams from concept through production release, including architecture reviews, technical decomposition, milestone planning, risk management, validation, and launch support.
Translate ambiguous product, design, safety, and system requirements into practical software designs with clear interfaces, failure modes, test strategy, and operational ownership.
Drive cross-functional alignment with ADAS algorithm, perception, infotainment, cluster, data recording, safety, product, and vehicle integration partners.
Establish engineering practices that raise quality across Android Automotive and rendering codebases, including performance benchmarks, release gates, automated validation, and field-issue triage.
Debug and resolve complex issues across the signal-to-pixel path, including Android lifecycle/service behavior, IPC, concurrency, rendering latency, memory pressure, GPU/CPU contention, and vehicle integration defects.
Mentor senior and mid-level engineers on Android Automotive architecture, 3D rendering trade-offs, system design, execution discipline, and cross-team technical leadership.
Communicate technical direction, risks, trade-offs, and delivery status clearly to engineering leadership and cross-functional stakeholders.

What we offer

An incentive pay program offers payouts based on company performance, job level, and individual performance.
medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays

Fulltime

Staff Software Engineer, Mapping

This role is based remotely but if you live within a 50-mile radius of [Austin, ...

Location

United States

Salary:

185100.00 - 335300.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of experience designing, implementing, and operating scalable distributed systems in production
Bachelors degree in related field or relevant work experience
Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals
Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA)
Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure
Experience with data orchestration pipelines and ETL mechanisms (eg. airflow)
BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field, or equivalent industry experience
Demonstrated success in leading cross-functional technical initiatives, influencing architectural decisions across teams, and mentoring senior engineers

Job Responsibility

Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping
Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release
Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions
Collaborate cross-functionally with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability
Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation
Diagnose and resolve large-scale system issues across services, data pipelines, and production environments
Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture within Mapping and potentially across GM AV
Help shape technical roadmaps and hiring plans for growing distributed systems expertise across the org

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer, Autonomy Evaluation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

185000.00 - 284100.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

7+ years applied experience with robotics or autonomous systems software, spanning multiple subsystems from perception through planning and control of the vehicle
3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data
Proficiency developing Python in production team environments
strong ability to work in large C++ autonomy codebases
Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions
PhD, Masters, or Bachelor’s degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, or a related field

Job Responsibility

Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack
Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions
Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale
Own and refine key AV evaluation metrics and KPIs used for readiness and safety decisions
synthesize and present results and tradeoffs to stakeholders
make insights readily available to partner teams through interactive dashboards

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

Staff Software Engineer – Embedded Systems

We are seeking a Staff Software Engineer to lead the development of embedded sof...

Location

United States , Bloomfield

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field with 12+ years of experience
or Master’s degree with 10+ years of experience
Extensive experience across all phases of the Software Development Life Cycle (SDLC)
Strong embedded C/C++ development experience
Hands-on experience with RTOS environments and real-time debugging
Experience with source control systems (Git, Subversion, Atlassian tools)
Strong understanding of embedded hardware, schematics, and system integration
Ability to work independently, lead multiple initiatives, and mentor others
Strong communication skills and commitment to safety, ethics, and quality

Job Responsibility

Lead implementation of the embedded software roadmap across field and factory tools
Provide architectural guidance and drive best practices across global engineering teams
Establish and enforce coding standards and conduct code reviews to ensure high-quality, maintainable software
Mentor and guide engineers to strengthen technical depth and consistency
Lead development of embedded C/C++ solutions across real-time systems
Support kernel, driver, BSP, bootloader, and device driver development
Design and maintain multi-threaded, real-time applications using RTOS platforms
Integrate and debug hardware interfaces including CAN, RS232/422/485, SPI, I2C, EEPROM, Flash, and timers
Drive adoption of automated testing, simulation, and CI/CD pipelines to improve release quality and speed
Lead regression and system-level integration testing strategies

What we offer

medical insurance
vision insurance
dental insurance
life insurance
disability insurance
401(k) plan

Fulltime

Staff Software Engineer, AI Agent Platform

The Geico AI Agent Platform team is seeking an exceptional Staff Software Engine...

Location

United States , Chevy Chase; New York City

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, or a related field
an advanced degree (master’s or Ph.D.) is highly desirable
6+ years of hands-on experience in designing, implementing, and maintaining multi-tenant AIML systems and platforms in production environments
6+ years of experience working with cloud platforms such as Azure and AWS
Extensive expertise in designing and deploying large-scale data pipelines and real-time inference systems and managing the end-to-end AI Agent and/or AIML system development lifecycles, including configuration, evaluation, monitoring, observability and AuthN/AuthR considerations
6+ years of experience working with common backend systems & tools (e.g, Kubernetes, Temporal, OpenSearch, PostgreSQL, Redis, Neo4J, etc.)
Deep understanding of Docker, container optimization, and multi-stage builds
Experience with Prometheus, Grafana, Open Telemetry and distributed tracing
3+ years of experience building front-end web applications using frameworks such as React and/or Next.JS
Deep proficiency in programming languages such as Python, Java, Go, etc., with a strong emphasis on coding excellence

Job Responsibility

Architect and implement scalable multi-tenant backend systems for building AI agent workflows, including agent configuration, offline evaluation, synthetic data generation, workflow simulation, agent marketplace, etc. using Azure Kubernetes Service (AKS), FastAPI, etc., ensuring economy of scale and control cost of maintenance
Collaborate with Design team to architect and implement frontend experiences and workflows for onboarding both technical and non-technical stakeholders, maximizing user adoption and successful AI agent development
Develop observability frameworks to ensure 99.9%+ uptime for AI agent platforms through robust monitoring, alerting, and incident response procedures
Evaluate and (if desirable) integrate cutting-edge GenAI frameworks, libraries and vendors to maintain a state-of-the-art technology stack, including hybrid cloud solutions with AWS/GCP as backup or specialized use cases
Architect and implement scalable, high-performance machine learning platforms and systems capable of processing large data volumes and supporting real-time decision making and workflows
Oversee the end-to-end lifecycle of AI agent applications, ensuring robust testing, deployment, and ongoing monitoring
Ensure adherence to company production readiness standards, security protocols, and regulatory compliance throughout the development lifecycle
Continuously optimize platform performance, reducing latency and improving throughput for AI agent workloads
Design and implement backup, recovery, and business continuity plans for hosted platform applications & services
Design and maintain robust CI/CD pipelines for ML model deployment using Azure DevOps, GitHub Actions, and MLOps tools

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

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Staff Software Engineer, Simulation

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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