CrawlJobs Logo

Staff Software Developer - Diagnostics Infrastructure

Canada, Markham Employment contract 147000.00 - 196600.00 USD / Year · Job Posted July 13, 2026
Apply Position
Job Link Share

Job Description

We are seeking a highly skilled and motivated Staff Software Developer to join our Diagnostics Infrastructure Software team in the Autonomous Vehicle Integrity Platform department. In this role, you will act as the subject matter expert in diagnostic infrastructure software development, responsible for architecting new diagnostic software applications and core diagnostic software libraries, along with their interfaces. The ideal candidate will possess strong analytical and problem-solving skills, with a proven ability to collaborate effectively in a cross-functional team environment. You should demonstrate exceptional attention to detail, a commitment to delivering high-quality software solutions, and the ability to adapt to changing priorities. As a Staff Software Developer, you will play a critical role in defining the next generation of Diagnostic Infrastructure. Your work will be conducted in a collaborative engineering environment, where you will exercise the highest levels of creativity, initiative, and independent judgment. Join us in delivering innovative solutions and technologies that enhance the GM vehicle ownership experience and ensure the long-term satisfaction of our customers. This is an exciting opportunity to contribute to the development of cutting-edge software solutions that enable efficient and accurate vehicle diagnostics across the GM Enterprise and GM Dealership network.

Job Responsibility

  • Lead the diagnostic infrastructure software architecture development related to UDS and DTC Management.
  • Own the diagnostic infrastructure software application and library strategy for the development of in-house diagnostic software, collaborating effectively with cross-functional teams.
  • Create and manage comprehensive architecture diagrams and technical execution plans.
  • Deliver new diagnostic software solutions that comply with GM requirements and specifications. Consistently produce high-quality software through rigorous unit testing, thorough code reviews, and frequent check-ins for continuous integration.
  • Review and approve Engineering Change Requests that impact GM Autonomous Vehicle Platform diagnostics globally.
  • Communicate technical issues and decisions efficiently to management.
  • Work with GM's manufacturing and service diagnostic teams to support new vehicle architectures, including Software Defined Vehicles (SDV).
  • Collaborate with other Platform teams (Cybersecurity, Programming, Serial Data Communication, etc.) to analyze and address potential UDS integration issues.
  • Assist in resolving production diagnostic problems by reviewing vehicle communication logs and other data records.
  • Serve as a technical lead, actively guiding and mentoring fellow developers on the team to foster growth, collaboration, and technical excellence.
  • Actively participate in hiring, development of technical questionnaires, resume reviews and perform interviews
  • Represent the GM Diagnostic Infrastructure Software Team internally and externally through automotive industry work groups (ISO, SAE).
  • There will be travel to the US one to two weeks of the year.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
  • Proven expertise in C++ programming language and other object-oriented programming languages (e.g., Python)
  • A minimum of 8 years of experience in software design and development, with a strong focus on diagnostic software applications and diagnostic protocols (UDS).
  • Experience in diagnostic strategy and software architect.
  • Knowledge of vehicle diagnostic serial data protocols: UDS (ISO-14229) and DoIP (ISO-13400).
  • Experience reading vehicle communication logs collected from Ethernet bus loggers and Wireshark.
  • Understanding of vehicle electrical architecture systems and standards.
  • Strong problem-solving skills and the ability to troubleshoot complex issues.
  • Excellent communication skills and the ability to work effectively in a team environment.
  • Proven results in successful project execution.

Nice to have

  • Master’s degree in Software Engineering, Computer Science, Computer Engineering or related.
  • Experience in embedded software development on System-on-Chips (SoCs).
  • Familiarity with embedded Linux such as Yocto project.
  • Experience with CI/CD pipelines and automation tools.
  • Familiarity with ISO-26262.
  • Experience with vehicle Ethernet networking.

What we offer

  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
  • Healthcare, dental, and vision benefits.
  • Life insurance plans to cover you and your family.
  • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
  • GM Vehicle Purchase Plan for you, your family and friends.

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Staff Software Developer - Diagnostics Infrastructure

8 matching positions

Senior Staff Software Engineer

In this role, you will lead sustaining and performance improvements across Terad...
Location
Location
United States , San Diego
Salary
Salary:
156400.00 - 234700.00 USD / Year
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in distributed systems, database engine, performance engineering, or large-scale data platforms
  • Strong expertise in diagnosing complex, cross-layer issues involving memory, OS, networking, infrastructure, concurrency, and execution behavior in production environments
  • Deep understanding of system internals (e.g., SQLE, PDE, or equivalent execution/runtime environments)
  • Demonstrated ability to lead technical investigations and influence engineering decisions across teams
  • Strong problem-solving and communication skills in cross-functional engineering environments
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
Job Responsibility
Job Responsibility
  • Lead sustaining and performance improvements across Teradata’s memory and execution systems, ensuring correctness, reliability, and customer trust under complex, large-scale workloads
  • Focus on diagnosing and resolving memory-driven system behaviors that manifest in customer-impacting scenarios, particularly under AI-driven and high-concurrency workloads
  • Drive long-term improvements by identifying systemic gaps in memory behavior and influencing design, validation, and operational practices across the platform
  • Own end-to-end resolution and prevention of classes of customer-impacting issues related to memory pressure, allocation, and execution-path behavior
  • Lead cross-team technical investigations involving SQLE, PDE, OS, networking, infrastructure, and performance teams to resolve complex, system-wide issues
  • Influence engineering decisions through deep technical insights derived from real-world system behavior under memory pressure
  • Diagnose and resolve complex system behaviors driven by memory pressure, resource contention, and cross-layer execution dynamics
  • Identify and resolve cases that appear as SQL Engine issues but originate in memory or execution-layer interactions
  • Provide PDE-adjacent L4 triage and escalation support, particularly for high-severity incidents
  • Drive root cause analysis and translate field learnings into systemic engineering improvements
What we offer
What we offer
  • healthcare
  • life and disability insurance plans
  • 401(k)-retirement savings plan
  • time-off programs
  • Fulltime
Read More
Arrow Right

Staff Diagnostics System Architect - Brake Controls

The successful candidate will be part of the Vehicle Mechatronic Embedded Contro...
Location
Location
Canada , Markham
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Electrical, Computer Science, Mechanical, or related engineering discipline
  • Minimum 7+ years of Engineering experience related to diagnostics development and/or Embedded Controls development
  • Working familiarity with brake controls
  • Knowledge of major automotive subsystems and electrical/electronic circuit operation
  • Knowledge and experience with major diagnostic deliverables such as Diagnostic monitors, diagnostic objects (including Data Identifiers (DIDs), Diagnostic Trouble Codes (DTCs) and Routine Identifiers (RIDs), Diagnostic Event Managers, etc
  • In depth comprehension of industry diagnostic strategies and relevant standards including CARB regulatory requirements, CHINA 7 regulatory requirements, EURO, SAE J1979-x and Legislative requirements, UDS (ISO-14229) diagnostic requirements, ISO26262 safety requirements
  • Ability to coordinate and complete tasks per a cadence release schedule
  • Ability to identify non-compliance to standards and resolve the issue
  • High level of analytical ability where problems are unique and complex
  • High level of interpersonal communication skills (written and oral)
Job Responsibility
Job Responsibility
  • Lead the diagnostic systems development and architecture, and lead data collection initiatives for brake controls using appropriate and common methods for VMEC feature development and support the growth capabilities to keep us at the forefront of emerging technology
  • Assess the level of effort required to support diagnostic activities across Initiatives and Features, ensuring alignment with ART priorities
  • Provide diagnostic perspectives on EPICs and Features, including Non-Functional Requirements (NFRs), Acceptance Criteria, and Definition of Done
  • Ensure infrastructure and processes are in place to evaluate and improve the diagnostic quality of the product continuously
  • Ensure sufficient data access to provide meaningful insights into system performance
  • Evaluate new concepts and designs prior to development to identify diagnostic implications and opportunities
  • Decompose new technologies, develop DFMEAs, identify diagnostic capabilities and warranty parts, and generate Diagnostic Object Specifications of Intent
  • Develop and maintain the Diagnostic Architectural Runway, ensuring diagnostic coverage across all impacted scrums and features
  • Oversee diagnostic activities and ensure flawless diagnostic quality through design reviews, test plan validation, and test result analysis
  • Manage diagnostic-related PRTS and ensure traceability and completeness of diagnostic deliverables
What we offer
What we offer
  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
  • Healthcare, dental and vision benefits including health care spending account and wellness incentive
  • Life insurance plans to cover you and your family
  • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
  • GM Vehicle Purchase Plan for you, your family, and friends
  • Fulltime
Read More
Arrow Right

Staff Software Engineer

This role is based remotely but if you live within a 50-mile radius of [Austin, ...
Location
Location
United States , Austin; Warren
Salary
Salary:
160200.00 - 211950.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field (or equivalent practical experience)
  • 8+ years of hands-on development experience in C/C++ building production systems
  • strong skills in memory management, concurrency, and performance optimization
  • Experience building data intensive, streaming, or logging/observability pipelines
  • Embedded OS experience with one or more of: QNX, Linux, Android/Android Automotive, or similar RTOS class platforms
  • Solid understanding of logging and data processing principles: structured logging, sampling, batching, buffering, compression, on device storage, and failure handling
  • Expert understanding of vehicle communication protocols, including UDS, CAN, SOME/IP, XCP, and how they are used for diagnostics, configuration, and control
  • Solid understanding of AUTOSAR (Classic and/or Adaptive) concepts and how they constrain software and communication patterns
  • Demonstrated experience leading complex cross organizational initiatives and influencing technical direction beyond your immediate team
  • Proven track record as an expert software engineer who can take features from concept through design, implementation, test, and production rollout
Job Responsibility
Job Responsibility
  • Design, implement, and evolve in-vehicle data, control, and logging pipelines spanning various controllers and cloud endpoints
  • Optimize embedded data and logging infrastructure for high throughput, low latency, and predictable resource usage (CPU, RAM, flash, network)
  • Develop and own reusable libraries/SDKs and plugins (e.g., collectors, filters, exporters) that teams use to integrate with the data and logging planes
  • Integrate vehicle infrastructure with backend data sinks (e.g., Azure, GCP, S3 or equivalent object/streaming stores), ensuring reliability, security, and cost effective data flows
  • Define and implement control plane APIs and protocols for configuration, data routing, logging policies, and remote operations, with strong safety and security boundaries
  • Collaborate with platform, security, DevOps, and analytics teams to design end-to-end observability and data flows from device to cloud
  • Profile, monitor, and troubleshoot embedded software to drive systemic improvements in performance, reliability, and debuggability
  • Lead technical design and code reviews, mentor other engineers, and drive cross organizational initiatives around data and observability standards
  • Contribute to or leverage key open source technologies (e.g., Fluent Bit, OpenTelemetry, MQTT, gRPC, protocol/tooling around observability and data pipelines) through issue reporting, design discussions, documentation, or patches as appropriate
What we offer
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
Read More
Arrow Right

Senior Staff Software Engineer - AI

GEICO is seeking an experienced Engineer with a passion for building high-perfor...
Location
Location
United States , Seattle, WA; Austin, TX; Palo Alto, CA; Chicago, IL; Dallas, TX
Salary
Salary:
110000.00 - 230000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building and deploying ML systems in production with cross-functional engineering teams
  • Fluency in at least two modern languages such as Python, Go, Java, C++, or C# including object-oriented design
  • Experience architecting multi-component ML platforms using open-source/cloud-agnostic components: Datastores: PostgreSQL, NoSQL (MongoDB, Cassandra, CosmosDB) Streaming: Kafka, Flink, or Spark Streaming
  • Experience with end-to-end ML lifecycle: version control, CI/CD, Kubernetes, testing, monitoring, and production support
  • Experience with cloud providers (Azure, AWS or GCP) in production ML environments
  • Experience with observability tools and distributed systems monitoring, logging, tracing, and root cause analysis
  • Experience building multi-agent systems using LLMs and agentic frameworks (e.g., LangChain, LangGraph, AutoGen, Semantic Kernel, CrewAI)
  • Hands-on experience with RAG, semantic search, and vector databases (e.g., Milvus, pgvector, Qdrant, ElasticSearch)
  • Experience designing human-in-the-loop workflows and safety controls for autonomous systems
  • Strong architecture and design skills with ability to influence technical direction and roadmap
Job Responsibility
Job Responsibility
  • Design and build a multi-agent AI platform where specialized agents autonomously detect, diagnose, and resolve issues through agent-to-agent (A2A) collaboration
  • Develop intelligent agents using LLMs and agentic frameworks that coordinate detection, diagnostic, remediation, and knowledge tasks with minimal human intervention
  • Define agent interaction protocols, A2A communication standards, and evaluation frameworks for agent decision quality and autonomous action safety
  • Architect vector database solutions (Milvus, pgvector, Qdrant) for semantic search and RAG to enable context-aware agent decision-making
  • Build end-to-end ML pipelines for severity classification, anomaly detection, failure pattern recognition, and impact forecasting using observability data
  • Establish scalable orchestration infrastructure for multi-agent workflows with CI/CD, automated evaluation, canary releases, and rollback strategies
  • Implement monitoring for agent interactions, A2A communication patterns, decision quality, data drift, and system reliability
  • Lead technical architecture ensuring scalability, observability, and integration with existing alerting, logging, and monitoring systems
  • Define standards for agent safety, explainability, governance, and human-in-the-loop controls for high-impact automated actions
  • Partner with SRE, Product, and Engineering teams to translate reliability goals into measurable ML objectives and maintain pragmatic technical roadmaps
What we offer
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
Read More
Arrow Right

Staff Mechatronics Infrastructure SQA Engineer

We are looking for a talented, motivated, and capable engineer that will lead in...
Location
Location
Canada , Oshawa
Salary
Salary:
147000.00 - 196600.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Software/Computer/Electrical/Embedded Systems/Electronics Engineering or equivalent field
  • 10+ years of relevant experience
  • Strong experience in developing and executing test scripts using Python, C, Java, C++
  • Strong knowledge of Unit test frameworks like JUnit, Unit etc.
  • Strong knowledge of CICD process pipeline like GitHub Actions and Jenkins
  • Knowledge and familiarity with Mechatronic Infrastructure Systems such as Ethernet/CAN/LIN, Diagnostics, Programming, HWIO, Power Management, and Cybersecurity
  • Knowledge and Experience executing tests on HIL, SOLE, and other automation testing platforms
  • Knowledge of software development lifecycle and testing methodologies
  • Strong analytical and problem-solving skills
  • Ability to identify non-compliance to standards and resolve the issue
Job Responsibility
Job Responsibility
  • Set/Lead/Enforce the department strategy
  • Lead in how test scripts & Helper/Wrappers functions are designed to verify key functional behaviors
  • Establish how requirements that are provided to the Environment teams allow scripts to be executed successfully
  • Coordinate how different test methodologies and test Frameworks are used by all scripts
  • Lead in creating the plan to migrate all scripts towards a common test framework
  • Support how Mech Infra will migrate all ITCG scripts towards BTS test cases
  • Establish Key Test Behaviors and drive efficiency in the work product
  • Identify key behaviors and common test steps that can be centralized and executed with helper/wrapper functions
  • Develop a plan to create helper functions, validate helper functions, and integrate changes across all scripts
  • Create helper/wrapper functions and validate them. Share with department
What we offer
What we offer
  • Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave
  • Healthcare, dental and vision benefits including health care spending account and wellness incentive
  • Life insurance plans to cover you and your family
  • Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement
  • GM Vehicle Purchase Plan for you, your family, and friends
  • Fulltime
Read More
Arrow Right

Senior Staff Embedded Software Engineer

As a Senior Staff Software Engineer on the Spot team, you will be part of a high...
Location
Location
United States , Waltham
Salary
Salary:
Not provided
bostondynamics.com Logo
Boston Dynamics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Linux expertise - at both kernel and user spaces. You should have a deep understanding of processes, threads, interrupt handling, file systems, IPC mechanisms, memory management, systemd, and other components
  • 8+ years of prior software development in C/C++, as well as shell scripting or Python
  • Excellent debugging skills - both overall methodology as well as knowledge of available tools
  • Performance optimization of systems
  • Eligible to work in the United States
Job Responsibility
Job Responsibility
  • Create toolchains for building, verifying, and deploying system images across a variety of computer architectures
  • Address systems performance issues: Debug issues encountered in the field, build instrumentation and diagnostic tools, and architect high-performance infrastructure components such as IPC systems or process/thread scheduling approaches
  • Enable new hardware innovations: Derisk designs during early phases, create overall software system architecture, and create device drivers or kernel support where needed
  • Ensure the security of our products using techniques like Secure Boot, Disk Encryption, Process Sandboxing, and Access Controls
  • Communicate designs and best practices across the broader organization
  • Mentor junior engineers and share your expertise
  • Fulltime
Read More
Arrow Right

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...
Location
Location
United States , Seattle
Salary
Salary:
232000.00 - 319000.00 USD / Year
docker.com Logo
Docker
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
  • Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
  • Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
  • Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
  • Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
  • Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
  • Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
  • Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
  • Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
  • Track record of technical mentorship and elevating engineering teams' capabilities
Job Responsibility
Job Responsibility
  • Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
  • Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
  • Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
  • Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
  • Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
  • Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
  • Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
  • Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
  • Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
  • Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management
What we offer
What we offer
  • Freedom & flexibility
  • fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup
  • we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity
  • Fulltime
Read More
Arrow Right

Staff Embedded Engineer

We operate one of the world’s largest connected micromobility fleets, with close...
Location
Location
Sweden , Stockholm
Salary
Salary:
Not provided
voi.com Logo
Voi Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience building and operating embedded / firmware systems in real‑world environments at scale (ideally globally distributed connected device fleets)
  • Strong skills in embedded C/C++ development and low‑power, real‑time embedded systems
  • Deep understanding of firmware architecture, hardware / software integration and distributed IoT systems
  • Proven experience debugging complex field issues across firmware, hardware, manufacturing and connectivity layers
  • Strong experience with embedded communication protocols such as CAN, SPI, I²C, UART and BLE
Job Responsibility
Job Responsibility
  • Translate rider and operator needs into platform‑level design decisions
  • Architect and evolve a large‑scale distributed embedded platform spanning vehicle control systems, battery‑powered IoT devices and multi‑MCU/MPU platforms (including Zephyr / Linux‑capable systems)
  • Develop and scale platforms capable of hosting multiple ML models on‑edge based on computer vision and other sensors
  • Drive the evolution of fleet‑wide OTA infrastructure, remote diagnostics and observability for hundreds of thousands of devices across 100+ cities in Europe
  • Lead technical discussions and design reviews with internal teams and external hardware suppliers and manufacturing partners
  • Improve resilience and recovery mechanisms for remotely deployed systems, including safe rollback strategies and recovery of bricked devices
  • Drive improvements in CAN‑based vehicle communication, power systems, GNSS and geofencing in dense urban environments, and sensor reliability, including Bluetooth and NFC user interactions
  • Raise the bar for engineering excellence across embedded and firmware engineering, mentoring others, refining CI/CD, testing and release processes, and introducing best‑in‑class development practices
  • Champion the strategic and pragmatic adoption of Generative AI tools to increase engineering effectiveness while protecting code quality and minimising technical debt
What we offer
What we offer
  • Join Europe’s #1 micromobility operator
  • Get “skin in the game” through our employee options programme
  • Enjoy unlimited free Voi rides and a dog‑friendly office
  • Work together with inspiring, motivated and fun colleagues towards a common goal
  • Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution
  • Fulltime
Read More
Arrow Right