Applied Cloud Computing Salary Jobs in Usa

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 Software Engineers–Simulationto support ourSimulation Frameworks, Services and Tools deployments team located inBerkeley, Missouri.This position will focus on supporting the Software Fabric / Boeing Emulation, Simulation, Test and Analysis Framework (BESTAF) business organization

This position will be a software development role on the Simulation Frameworks, Services, and Tools (SFST) deployment team that provides simulation software across the Boeing enterprise. The suite of tools support software verification, hardware verification, flight trainers, and warfare scenario simulation. The successful candidate will coordinate with commercial, defense, and other customers for requirements.

The candidate will participate in small developmental teams – and sometimes independently – to implement those requirements. Agile methodologies such as sprint planning, scrums, retrospectives, and demonstrations are expected.

The candidate should enjoy working collaboratively with others, have a commitment to customer satisfaction and process improvement, and be successful working in a multi-program environment. They will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. They should be adaptable to new development environments and eager to work with and learn new technologies.

Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle

• Partners with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated

• Performs design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities

• Performs data collection and processing for use in simulations

• Validates, verifies, and refines simulation software code, models, simulations, test procedures and test environments, executing test procedures and documenting test results and models against real-world data, test data, benchmarks, or other similar models

• Documents and maintains technical code, algorithms, specifications and descriptions of simulation models

• Partners with cross functional engineering teams to enable integration of simulation software with hardware devices and systems

• Implements current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment

• Modernizes, migrates, sustains, and updates simulation software to adapt legacy systems to new operating systems

• Performs simulation software project management functions

Basic Qualifications (Required Skills/ Experience):

• 4+ years of experience in software programming with C, C++, C#, .NET coding, debug, and development

• 2 + years of experience in software programming with Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.

• Level 3: 3 or more years’ related work experience or an equivalent combination of education and experience

• Level 4: 5 or more years’ related work experience or an equivalent combination of education and experience

• 4 or more years' related work experience or an equivalent combination of education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience

• 2 or more years’ experience in software programming with Rust

• Active Security Clearance

• Experience with embedded software and hardware interfacing-software

• Experience working across software-interface boundaries, including hardware, firmware, and software (Including technical coordination with interfacing teams)

• Experience handling multiple projects simultaneously

• Decision making abilities to complete efforts with minimal requirements definition

• Experience in software development in Visual Studio

• Experience with avionics and Ethernet communication protocols

• Experience with Agile Methodology

• Experience with Git, Continuous Integration, Cloud Computing technologies

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) 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.

Travel:

10%

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

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 for Associate Level (Level 2): $98,600 - $133,400

Summary pay range for Experienced Level (Level 3): $123,250 - $166,750

Summary pay range for Senior Level (Level 4): $153,000 - $207,000

Applications for this position will be accepted until Mar. 24, 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

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim U.S. Secret Clearance Pre-Start and final U.S. Secret Clearance Post-Start is required.

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.

Title:Sr. Manager Data Governance

Location: Richardson, TX Hybrid

Duration: 6 months possibility of FTE conversion yes

JOB SUMMARY

This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes

• 
  
• Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
  
• Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
  
• Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
  
• Serve as the data governance champion of strategic data products and supporting metadata and reference data.
  
• Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
  

ESSENTIAL DUTIES AND RESPONSIBILITIES

• 
  
• Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
  
• Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
  
• Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
  
• Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
  
• Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
  
• Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
  
• Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
  
• Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
  
• Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
  
• Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
  
• Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
  
• Develop and implement metrics needed to monitor/ report on data governance and data management progress
  
• Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
  
• Performs other duties as assigned.
  

SUPERVISORY RESPONSIBILITIES

Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION and EXPERIENCE

Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.

• 
  
• 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
  
• 5 or more years of related experience in related industry; commercial real estate management preferred.
  
• 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
  
• Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
  
• Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
  
  

• 
  
• Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
  

CERTIFICATES and/or LICENSES

None

COMMUNICATION SKILLS

• 
  
• Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
  
• Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
  
• Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
  
• Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
  
• Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
  

FINANCIAL KNOWLEDGE

• 
  
• Requires basic knowledge of financial terms and principles.
  
• Participates in complex financial/business analysis and report reviews prepared peers or leaders.
  
• Manages to and oversees department budget.
  

REASONING ABILITY

• 
  
• Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
  
  • 
    
  • Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
    
  • Demonstrated ability to balance long-term strategy with quick wins.
    
  • Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
    
  • Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
    
  • Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
    
  • Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
    
  • Ability to tell a story to explain or sell a concept.
    
  
  
  

OTHER SKILLS and/or ABILITIES

• 
  
• Utilizes an entrepreneurial approach and develops innovative solutions.
  
• Ability to write business cases, process maps, presentation materials and articles using distinctive style.
  
• Ability to make effective and persuasive presentations on complex topics across various levels of leadership
  
• Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
  
• Ability to use strong conceptual and analytical skills to generate insights and recommendations.
  
• Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
  
• Experience managing small to mid-size teams and delivering results.
  
• Thorough knowledge of cutting-edge data management tools, industry advances, etc.
  
• Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
  
• Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
  
• Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
  
• Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
  
• Skills in MS Visio, Word and PowerPoint is a plus.
  
• Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
  
• Software development lifecycle knowledge, with background in agile philosophies and
  

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

• Growth opportunities to uplevel your career
• A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well-being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

• Analyze, tag, identify data assets and systems through data discovery and analysis of high-level business processes. The Data Analyst will have deep data management skills and will be comfortable querying a variety of platforms using new languages and methods.
• Sort through uncertain raw data to extract useful elements and collections.
• Work with data architects, data engineers, data modelers and reporting users.

• Work as part of the data services team on large programs, governing and shaping the delivery of data products and services.
• Elicit and document our internal customers' business requirements, identifying the sources and transformations that are correctly modeled to apply to MVP's data assets to achieve the expected results and serve our users. Maintain user stories, acceptance criteria, metrics definitions, source to target mappings, and semantic layer specifications.
• Comfortably work with and define internal lakehouse data pipelines and workflows across our medallion architecture, as well as working externally with vendors to achieve third party data integrations that both ingress and egress from MVP's data ecosystems.
• Ensure the end-to-end solution is fit for purpose, meets the needs of business, the agreed requirements, and are both pragmatic and supportive of the strategic architecture direction.

• Partner with governance teams and business stewards who maintain business definitions, policies, and stewardship workflows. You are a tactical team member who brings subject expertise to your accountable data domains.
• Maintain domain technical glossaries for the bronze and silver tiers, including field definitions, lineage, and transformation logic.
• Collaborate with development teams working with other areas to ensure that all data solutions are complete, operable, conform to appropriate domain business processes, and meet the business needs with the agreed quality of service.
• Ensure that metrics and monitoring of our core data domains are in place and maintained as part of our data requirements efforts.

• Bachelor's degree in a quantitative technical, or business field (e.g. computer science, data science, engineering, finance, statistics) or equivalent practical experience.

• 1-3 years' experience working in data analysis, data management, business intelligence, ore a related quantitative role.

• Demonstratable knowledge of data management, data integration, and database development techniques.
• Experience or familiarity with Databricks, SQL Server, and Azure cloud computing.
• Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Spark).
• Experience with ETL concepts and other tools like SQL, Python, Informatica Power Center or IDMC, SSIS/SSRS, etc ...
• Experience with business intelligence and reporting technologies like PowerBI, Tableau, Qlik, or Databricks AI/BI.

• Experience collaborating on reference architecture, principles, and standards.
• Experience with delivery of data solutions and SDLC processes.
• Experience or knowledge of the data requirements for health insurance industry.
• Proven experience in Data Management planning, organization, and development.
• Familiarity with Data Warehouse or Lakehouse concepts.

• Familiarity with data governance tools and processes like Informatica CDGC, Unity Catalog, or other industry governance tools.
• Time spent with entity relationship modeling, metadata systems, data quality tools and techniques.

Eximietas Design is a leading technology consulting and solutions development firm specialising in the VLSI, Cloud Computing, Cyber Security, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, whose collective experience spans renowned tech giants. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape.

Location: Bay Area, CA

Employment Type: Full-Time

Minimum Qualifications:

● Bachelor’s degree in computer science or electrical/Electronics Engineering

● Over 10 years of experience in Design Verification

● Strong understanding of design concepts and ASIC verification flow

● Proven experience in IP, Subsystem, and SoC verification

● Hands-on expertise with high-speed protocols and their controllers (PCIe/USB/DDR/ Ethernet/MIPI/UFS)

● Proficient in System Verilog and UVM coding

● Solid understanding of RAL (Register Abstraction Layer)

● Practical experience integrating third-party VIPs

● Excellent problem-solving, analytical, and debugging skills

● Mandatory exposure to at least one of the following: GLS, UPF, Performance Verification, Meta stability simulation, Boot-up (C–SV/UVM) handshakes and C testcase development

● Demonstrated capability in Subsystem testbench development and SoC-level verification

● Strong knowledge of AMBA protocols including AXI, APB, and AHB

● Hands-on experience with revision control systems such as Git, SVN, or Perforce

● Experience in a team lead role with responsibilities in guiding, mentoring, and ensuring effective collaboration across teams

As a Lead verification engineer candidate will be responsible to work at IP, Subsystem or

SoC verification-related tasks.

Responsibilities:

● Develop testbench components (Driver, Monitor, Scoreboard) from scratch or enhance an existing testbench for a given IP, Subsystem, or SOC.

● Understand design specifications and implementation to define the verification strategy.

● Create testbench micro-architecture, test plan, and coverage plan documents.

● Define the verification scope, develop test plans and tests, and establish the verification infrastructure to ensure design correctness.

● Implement System Verilog assertions and functional coverage.

● Analysed code coverage and address missing scenarios to meet coverage goals.

● Work with other verification team members to develop, execute, and analyse verification test cases and sequences, providing relevant solutions to issues.

● Collaborate with architects, designers, and pre- and post-silicon verification teams to meet deadlines.

● Coordinate with customer leads, ensuring all deliverables and timelines are met.

● Serve as the project's point of contact, responsible for verification signoff.

Apply/Refer -

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 Software Engineers–Simulationto support ourSimulation Frameworks, Services and Tools deployments team located inBerkeley, Missouri.This position will focus on supporting the Software Fabric / Boeing Emulation, Simulation, Test and Analysis Framework (BESTAF) business organization

This position will be a software development role on the Simulation Frameworks, Services, and Tools (SFST) deployment team that provides simulation software across the Boeing enterprise. The suite of tools support software verification, hardware verification, flight trainers, and warfare scenario simulation. The successful candidate will coordinate with commercial, defense, and other customers for requirements.

The candidate will participate in small developmental teams – and sometimes independently – to implement those requirements. Agile methodologies such as sprint planning, scrums, retrospectives, and demonstrations are expected.

The candidate should enjoy working collaboratively with others, have a commitment to customer satisfaction and process improvement, and be successful working in a multi-program environment. They will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. They should be adaptable to new development environments and eager to work with and learn new technologies.

Our teams are currently hiring for a broad range of experience levels including Experienced and Senior Level Software Engineers.

Position Responsibilities:

• Designs, architects, and develops simulation models, simulation visualizations, virtual environments/platforms and frameworks to enhance test performance, safety, and durability of software and hardware systems throughout the entire product lifecycle
• Partners with stakeholders to review and identify simulation requirements and dynamics of the systems being simulated
• Performs design, modeling, simulation, testing, and analysis to assess and optimize overall system performance and capabilities
• Performs data collection and processing for use in simulations
• Validates, verifies, and refines simulation software code, models, simulations, test procedures and test environments, executing test procedures and documenting test results and models against real-world data, test data, benchmarks, or other similar models
• Documents and maintains technical code, algorithms, specifications and descriptions of simulation models
• Partners with cross functional engineering teams to enable integration of simulation software with hardware devices and systems
• Implements current and emerging technologies, tools, frameworks, and methods in the software engineering simulation environment
• Modernizes, migrates, sustains, and updates simulation software to adapt legacy systems to new operating systems
• Performs simulation software project management functions

Basic Qualifications (Required Skills/ Experience):

• 4+ years of experience in software programming with C, C++, C#, .NET coding, debug, and development
• 2 + years of experience in software programming with Python

Preferred Qualifications (Desired Skills/Experience):

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
• Level 3: 3 or more years' related work experience or an equivalent combination of education and experience
• Level 4: 5 or more years' related work experience or an equivalent combination of education and experience
• 4 or more years' related work experience or an equivalent combination of education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience
• 2 or more years' experience in software programming with Rust
• Active Security Clearance
• Experience with embedded software and hardware interfacing-software
• Experience working across software-interface boundaries, including hardware, firmware, and software (Including technical coordination with interfacing teams)
• Experience handling multiple projects simultaneously
• Decision making abilities to complete efforts with minimal requirements definition
• Experience in software development in Visual Studio
• Experience with avionics and Ethernet communication protocols
• Experience with Agile Methodology
• Experience with Git, Continuous Integration, Cloud Computing technologies

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) 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.

Travel:

10%

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

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 for Associate Level (Level 2): $98,600 - $133,400

Summary pay range for Experienced Level (Level 3): $123,250 - $166,750