Github Staff Engineer Salary Jobs in Usa

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• Design and build internal tools and automation-including API linting frameworks, OpenAPI specification validators, code?generation utilities, and workflow automation-to improve consistency, quality, and efficiency across the API lifecycle.
  
• Ensure developer experience is at the center of all software created, building intuitive, reliable, and friction?reducing tools that empower API producers and consumers and simplify their workflows.
  
• Collaborate, coordinate, and align with technical stakeholders such as architecture, platform engineering, security, and API governance teams to ensure tooling meets enterprise needs and integrates seamlessly with broader technical ecosystems.
  
• Apply industry best practices to deliver secure, scalable, and maintainable solutions that align with clients engineering, security, and compliance standards.
  
• Drive development activities from design through delivery, ensuring tools and services are released on time and effectively support both API producers and consumers.
  
• Champion code quality, implementing comprehensive unit testing, functional testing, and automated validation to ensure highly reliable solutions and fast feedback loops.
  
• Demonstrate engineering excellence, consistently applying high?quality engineering practices-including clean code principles, strong testing strategies (unit, integration, functional), CI/CD pipeline integration, versioning discipline, and reliable automated deployment strategies-to ensure tooling is robust, maintainable, and production?ready.
  
• Ensure all software created adheres to strong security principles, including secure coding practices, automated security scanning, vulnerability mitigation, and alignment with enterprise security standards-ensuring tooling is safe by design, safe by default, and safe in production.
  
• Support the tech lead in evaluating and shaping technical decisions, contributing insights and execution capabilities related to tooling, automation, and developer?experience improvements.
  

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• Programming & Scripting: Java | Python | JavaScript | TypeScript, Bash / Shell Scripting
  
• API Design & Management: RESTful APIs, OpenAPI / Swagger (Specification, Validation), API Linting Frameworks, API Governance & Standards Enforcement, API Versioning Strategies
  
• Automation & Tooling: Code Generation Utilities, Workflow Automation Tools, Internal Developer Tooling, CLI Tools
  
• Testing & Quality Engineering: Unit Testing | Integration Testing | Functional Testing, Automated Validation Frameworks, Test Automation Tools, Code Quality & Static Analysis Tools
  
• CI/CD & DevOps: CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins), Automated Build & Deployment Pipelines, Artifact Repositories, Infrastructure Automation
  
• Cloud & Platforms: Cloud Platforms (AWS / Azure / GCP), Containerization (Docker), Kubernetes (optional / platform-dependent)
  
• Security & Compliance: Secure Coding Practices, Automated Security Scanning (SAST / DAST), Vulnerability Management Tools, Dependency Scanning, Compliance & Enterprise Security Standards
  
• Developer Experience (DX): Developer Tooling & Enablement Platforms, Documentation Automation, API Consumer & Producer Enablement Tools
  
• Collaboration & Version Control: Git | GitHub | GitLab, Agile / Scrum Methodologies, Issue & Work Tracking Tools (Jira, similar)
  

• Architect, build, and maintain a robust application management and loan repayment platform, ensuring scalability, performance, and maintainability across front-end and back-end systems
• Leverage full-stack engineering skills to contribute alongside team and build a polished & accessible end-user experience that tens of thousands of students and program administrators love, and develop best of breed API on reliable infrastructure for our partners to leverage
• Set best practices for code quality, system design, and security while mentoring engineers and conducting code reviews
• Oversee 2-3 engineers' day-to-day operations with the support of the Director of Engineering
• Work with cross-functional stakeholders to define and prioritize work, break down large initiatives into achievable milestones, and balance technical debt with new feature development
• Spec out stories with the engineering team and product leadership, and lead the team in continually reflecting on how to better deliver value and operate as a team
• Foster a strong engineering culture through collaboration, knowledge sharing, and continuous improvement.
• Participate in future on-call rotations and ensure by building self-healing and resilient systems and leveraging infrastructure as code and monitoring tools that our systems are highly available

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent bootcamp or upskilling program experience
• Hands-on experience managing CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or similar) and ownership of deployment strategies, release management, and production monitoring
• Experience working closely with Product teams to define technical requirements and Compliance teams to ensure regulatory adherence in financial services or similarly regulated environments.
• Ability to clearly articulate technical trade-offs, align stakeholders, and make informed decisions under ambiguity.
• 4+ years working in a SaaS startup regularly building and owning the complete E2E technology stack for Web Application (Frontend + Backend + Cloud + CI/CD)
• Deep experience with a combination of the following technologies:
• Javascript & TypeScript (React, NextJS, Recoil (other state management libraries)), Python (Django, Flask, FastAPI, etc.), HTML, CSS
• Databases: SQL (we use PostgreSQL)
• Cloud: AWS or Google Cloud experience
• Design: We use Figma; understanding of responsive design
• DevOps: Experience with CI/CD and modern cloud and container tooling

• Modern tech stack with the ability to have impact to many different user personas - recruiters, students and more
• High autonomy working in a highly collaborative team
• Can grow into a more formal people management role - expectation though is to be very hands on
• Step into being a 10x engineer and ride the AI wave with a team doubling down on how this technology allows us to focus on harder problems and solve for our customer's needs without compromising on quality

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• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

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• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

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• Deep hands-on experience in Python for AI/ML development.
  

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• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

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• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Pyramid Systems is seeking an Cloud Logging Engineer (Splunk & AWS) who is responsible for ensuring the availability, performance, and security.

• Advise on cost efficiency for future usage and cost optimization for current infrastructure.
• Automate the management and enforcement of policies.
• Create and maintain documentation related to architecture and operational processes for CLS (Centralized Logging Solution).
• Develop a set of best practices and architecture patterns.
• Help maintain regulatory compliance of the CLS (Centralized Logging Solution) infrastructure.
• Help monitor and maintain CLS performance, availability, and capacity.
• Help maintain application container images.
• Offer solutions for ingestion of logs to Splunk via cloud native solutions.
• Maintain all infrastructure as code.
• Provide operations monitoring of CLS platform to enable proactive issue identification, response, and resolution.
• Recommend and execute improvements to the existing CLS architecture and design with growth and scalability in mind to optimize performance, stability, reliability, and agility.
• Responsible for reporting on current infrastructure status, and planning for future usage.
• Responsible for Beats agent deployments and container infrastructure analysis, optimization, and capacity planning.
• Maintain CI/CD pipelines for configuration deployments to applications.
• Support large-scale deployments with data feeds from multiple on premise and cloud data centers.
• Upgrade, install, configure monitoring solution for AWS for Windows and Linux servers.
• Utilize automation tool such as Terraform, Ansible, AWS Cloud Formation, Azure Resource Manager, or similar.
• Participate in a rotating on call schedule and weekly off hours maintenance.

• Splunk certification required***
• Candidate background eligibility requirements are United States citizen or be a Permanent Resident and have lived in the United States for at least 3 years, clean criminal background and able to obtain a Public Trust (High-Risk) Position.

• Bachelor's degree in computer science, electronics engineering or other engineering or technical discipline OR AWS/Azure Certification (AWS Professional / Specialty Cert. OR Azure Expert / Advanced Cert.) OR 4 years of relevant experience in one of the VAECOT suite of tools (Science Logic, Dynatrace, Turbot, AppDynamics)

• Minimum of three (3) years of experience in leading technical teams to achieve objectives and outcomes.

• Minimum of six (6) years setting up, configuring, and using AWS cloud operational tools to ensure service level agreements and performance targets are met, and continued compliance with policies, standards and guidelines.

• Minimum of three (3) years specific to monitoring Centralized Logging Solution (CLS)/Splunk

• Subject matter expertise with ALL VAEC Cloud Service Providers which currently includes Microsoft Azure and Amazon Web Services (AWS).

• Experience with programming with Splunk language (SPL) or equivalent (e.g., Python, Powershell, AWS or Azure CLI).

• One or more of these Splunk certifications: Splunk Core Certified Power User, Splunk Core Certified Advanced Power User, Splunk Enterprise Certified Admin, Splunk Enterprise Certified Architect, Splunk Enterprise Security Certified Admin, Splunk IT Service Intelligence Certified Admin.

• Knowledge of enterprise logging, with a focus on security event logging.

• Solid understanding of cloud concepts, either using Azure or AWS semantics.

• Experience in one or more of the VAECOT suite of tools, shown below:

VAEC Operational Tools (VAECOT)

Some experience in one or more of the following tools:

Third party tools

* Application Performance Monitoring: Dynatrace, AppDynamics

* Cloud Security: Nessus, NetSkope, Enterprise Security External Change Council, Identity and Assessment Management, Continuous Monitoring as a Service, McAfee, eMASS, Centrify

* Cloud Governance: Turbot

* DevOps/Configuration Management/Help Desk: Ansible, Service Desk, ScienceLogic, ServiceNow, SPLUNK, Jira ServiceDesk, Cloudockit, GitHub

* Containerization: Red Hat OpenShift

* Migration: CloudKey, Version One

* Reporting: Apptio

Cloud Service Provider (CSP) Operational Tools Tools/Services

* AWS Security: System Manager (Explorer and OpsCenter), CloudWatch, Config, CloudTrail, Elasticsearch (Kinesis DataStreams), GuardDuty, Inspector, Key Management Service (KMS), Security Hub, Directory Service, Identity and Access Management, Resource Access Manager, Cognito, Secrets Manager, Certificate Manager, Artifact

* Aws Monitoring and Logging: QuickSight, Eventbridge (AWS Kinesis DataStreams), Simple Notification Service (SMS), Elasticsearch (AWS Kinesis DataStreams), CloudTrail, CloudWatch

* Aws Networking: Virtual Private Cloud (VPC), Route S3, API Gateway, Direct Connect, AppStream 2.0, Transit Gateway, Elastic Loadbalancer, Firewall Manager, WAF & Shield

* AWS Storage: Cloud Tiering Services to S3 from On-Prem, Simple Storage Services (S3), S3 Glacier, Storage Gateway, Elastic File System (EFS), Backup

* Azure Security: Monitor (Log Analytics and ASC), Event Hubs, Security Center (ASC), Information Protection (AIP) , Key Vault, PowerBI, Network Watcher (Performance Monitor), Monitor (Log Analytics and ASC)

* Azure Monitoring and Logging: Information Protection (AIP), Advance Threat Protection, Security Center (ASC), Information Protection (AIP), Key Vault, Active Directory, Role Based Access Control (RBAC), Resource Manager (ARM), Resource Graph (ARG), Active Directory B2C, Key Vault, App Service, Service Trust Portal

* Azure Networking: Virtual Network, Traffic Manager, DNS, Application Gateway, Express Route, Web Apps, FrontDoor, VPN Gateway, Loadbalancer, Firewall

* Azure Storage: NetApp File Service, Storage (Blobs, Disks, Files, Queues, Tables), Storage Archive Access Tier, StorSimple, Files, Backup

Propy is revolutionizing the real estate industry by building the world's first AI-powered Title and Escrow platform onchain. We have processed over $5B in transactions, and we are on a mission to make closing on a home as easy as buying a stock.

We combine blockchain for security with advanced AI to automate the heavy lifting of closing documents. We aren't just "using" AI; we are building the infrastructure that allows AI agents to securely manage escrow, eliminate fraud, and run 24/7.

We are looking for a pragmatic Applied AI Engineer to join our engineering team.

The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high-stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

Title and Escrow is a document-heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real-world real estate data.

You will solve problems like:

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents)  from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

• Engineer the Integration: Writing production-grade code that interacts with external AI APIs
• "Prompt Engineering" as Code: You won't just write prompts; you will version, test, and optimize them. You will define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Help in building the logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full-Stack Implementation: Work to visualize AI-aided services and data for user review and approval.
• Collaborate: Work closely with the other senior engineers and product owners to translate complex "Title & Escrow" schemas into technical constraints that an AI can understand.

• Developer DNA: You are a software engineer first. You have strong experience in Python (C# / .NET is an advantage) and understand programming in depth. 
• Applied AI Experience: You have integrated LLMs into applications via API. Have experience with not only models but also AI frameworks. Experience with workflows, AI agent building and orchestration. You understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with handling complex data structures.
• The "Glue" Mindset: You enjoy writing the code that connects different services ( like the AWS, AI APIs, and Database) to make a seamless features.
• Collaborative Autonomy: You will own the AI domain, but you won't be on an island. You will be embedded in a senior engineering team that supports you with architecture, code reviews, and best practices.

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

• Working in a transparent environment which focuses on solving problems and getting things done.
• The opportunity to work with very smart and driven people.
• The ability to grow your talents and career in a high-growth sector.
• A remuneration package that is based on the candidate's motivation, skills, and experience.

Please submit your resume to this job ad along with a portfolio of your AI-related experience, GitHub account and anything else you find applicable. 

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking a Real Time Embedded Software Engineer to join our Instrumentation and Data Systems (I&DS) team located in Seattle, Washington. This position will focus on supporting the Boeing Test and Evaluation (BT&E) organization.

Join us to build the next generation of data acquisition and processing systems used across Boeing’s Lab Test facilities. As a member of the I&DS development team, you will develop and maintain software and hardware platforms for acquiring, processing, storing, and visualizing high-volume sensor and time-series data.  The systems you deliver will feed critical test results from wind tunnels, test stands, and other facilities into engineering workflows, enabling data‑driven decisions that validate and improve aircraft designs.

You will work on a high autonomy team with end-to-end ownership: design, implement, and ship features from prototype to production; make architectural and technology choices that shape product direction; and engage directly with customers and stakeholders. If you thrive in a technically challenging role with high autonomy and ownership, this is the place to excel!

BT&E is currently hiring for a broad range of experience levels including Mid-Level and Senior level Real-Time Embedded Software Engineer.

Position Responsibilities Include:

• Work with a team of engineers to design, architect, develop, and support real-time data management solutions for storing, streaming, processing, and visualizing high-throughput sensor data

• Deliver solutions that span the entire software development lifecycle, from design to production, and multiple deployment paradigms including CLI tools, native (Windows), and web applications

• Interface with data acquisition hardware (transducers, DAQ devices) to pull and process data

• Design and implement intuitive user experiences for data visualization and analysis

• Build clean, well-tested APIs and streaming pipelines for high-throughput time-series data

• Collaborate directly with customers and stakeholders to translate requirements into technical solutions

• Provide technical leadership through code reviews, mentorship, architecture design, and operational best practices

• Build and maintain deployment, CI/CD, observability, and database infrastructure

• Help define team culture, standards, and processes

• Help define product roadmap and priorities

 Basic Qualifications (Required Skills/Experience):

• To meet U.S. export control compliance requirements, a “US Person” as defined by 22 C.F.R. § 120.15 is required. “US Person” includes US Citizen, lawful permanent resident, refugee, or asylee.

• Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

• 2+ years of experience working with Real-Time Operating Systems

• 2+ years of experience with C/C++ software for real-time embedded systems

• 2+ years of experience with Application Development

• Experience in experimental data acquisition, instrumentation, and analysis

Preferred Qualifications (Desired Skills/Experience):

• 7 or more years of related work experience or an equivalent combination of education and experience

• Strong proficiency in C/C++ or C# (or similar)

• Experience with native application development for Windows (C# and .NET, C++ and Qt, or similar)

• Experience with relational databases (PostgreSQL, MySQL, SQLite, or similar)

• Proficient in modern version control systems (Git, GitLab, or similar)

• Proficient with containerization technologies (Docker or similar)

• Proficient in Python, JavaScript/TypeScript, MATLAB, or other programming languages

• Experience with data acquisition and processing systems (transducers, control systems, IoT devices, DAQ hardware, or similar)

• Comfortable developing and operating on Windows and Linux environments

• Experience with modern testing practices and tools (unit testing, TDD, etc.)

• Familiar with continuous integration and deployment platforms (GitLab CI, CircleCI, GitHub Actions, or similar)

• Experience with time-series file formats (HDF5, TDMS, or similar)

• Experience with native data visualization libraries

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Union:

This is a union-represented position.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.  

Summary pay range Mid-Level: $119,850 - $162,150

Summary pay range Senior Level: $146,200 - $197,800

Applications for this position will be accepted until Mar. 31, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

Relocation assistance is not a negotiable benefit for this position.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Client Platform Engineer, you will be a part of our IT and Security team. Your work will have a key impact on the development of Reliable Robotic's internal infrastructure and processes. You will work as part of the IT and Security team towards building, deploying and managing tools. You will be working on building or improving existing automation to support standardization efforts, with a focus on end-user facing endpoints.

Responsibilities

In your role as a Client Platform Engineer, you will be responsible for the design, implementation of tools supporting the business internal needs and standards, as well as support of the IT related needs of our end-users. You will be involved in the design and implementation of tools and their supporting infrastructure, to improve the daily experience of our users across the entire business. This will include managing SaaS services, managing physical infrastructure, and cloud infrastructure to support the needs of the teams at Reliable. You will be responsible for identifying additional opportunities for standardization, improvement of the user experience, and training various teams, including the IT/Security teams you will be working on, for redundancy when new tooling is introduced.

Basic Success Criteria

• 5+ years of experience supporting business needs in IT

• Excellent troubleshooting skills

• Basic networking skills and understanding of basic network services (vlan/routing/wifi/dhcp/dns/etc)

• Previous management of in-office infrastructure (wifi, printing, etc)

• Experience with MDM platforms to manage Apple devices (macOS, iOS, iPadOS) and Windows 11 devices

• Experience with configuration management systems such as Puppet (preferred), Chef or Ansible

• Scripting skills in various languages (Python, bash, powershell)

• Understanding of SSL certificates, and PKI infrastructure

Preferred Success Criteria

• Ability to explain complex concepts to users or colleagues

• Ability to troubleshoot problems remotely (over Slack, Google Meet, or others)

• Familiarity with Google Workspace management (access and management of Google services, integration of Google with other services, and the security mechanisms available in those environments)

• Experience with virtualization/containerization, both in AWS and GCP, KVM, LXC, and Docker

• Development tooling experience (git, github, vscode, pip3)

• Experience with AWS services (IAM, ec2, s3, route53, SSO, lambda, etc)

• Application (re)packaging and management (msi/pkg/deb)

• Experience in environments where data management, classification and handling is critical

• Experience with end-user supports with software and computing devices

• Mobile device management and BYOD policies

This position is based at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $125K - $185K

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

Flight Software links together the mechanical, avionics, algorithmic, and embedded worlds to actually make the airplane fly. As a Flight Software Test V&V Engineer, you will develop the test cases to support the test verification processes ensuring that the aviation products we develop are safe to fly and help provide a high-fidelity training environment for our flight-test crews.

Responsibilities

As a Flight Software Test V&V Engineer on the Simulation and Test Systems team, you will be instrumental in testing and deploying autonomous aircraft software. The Simulation and Test Systems team architects, builds, and maintains the hardware and software infrastructure necessary to verify aircraft performance prior to flight testing. Your responsibilities include verifying flight software functionality across diverse integrated test environments, such as software-in-the-loop (SIL), hardware-in-the-loop (HITL), and on-aircraft testing. You will also author and execute test procedures for on-ground aircraft testing.

A key part of this role involves designing, building, and maintaining automated test scripts within our test ecosystem. These scripts will support functional testing and requirements-driven software tests necessary for FAA certification.

This is a highly collaborative, hands-on position. You will coordinate with engineering teams throughout the company to develop test plans, execute tests, investigate issues, and drive problems to closure. You will also be responsible for the maintenance, installation, and troubleshooting of test and simulation equipment.

Basic Success Criteria

• 3+ years professional experience testing software

• 3+ years professional experience Python and exposure to C++ build systems

• 3+ years of experience testing integrated hardware / software products or mission-critical systems

• Experience authoring problem reports, test reproducibility steps, and procedures for internal team collaboration

• Hands on experience using laboratory electrical test equipment such as digital multimeters, oscilloscopes, and/or logic analyzers

• Demonstrated experience with root cause investigations

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

Preferred Criteria

• Experience working with robotics or other safety critical software

• Previous experience developing automated test cases through GitHub Actions, Jenkins, Travis CI, or other continuous integration infrastructure

• Demonstrated ability to author and exercise complex test procedures a hardware-in-the-loop (HITL) test environments

• Excellent documentation and collaboration skills

• Experience with DO-178C formal software test requirements

The position will be located at our facility in Mountain View, California. Must be willing to travel up to 10% of the time.

The estimated salary range for this position is $155,000 to $215,000/annual salary + cash and stock option awards + benefits. At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers, and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $155K - $215K