AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/06/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/06/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/06/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/06/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Date Posted: 2026-02-10 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Systems Engineer II - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques You will develop new C++ models in an extensible and maintainable fashion You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation You will enable our customer's success through adoption and utilization of modeling solutions You will work efficiently inside an established software product, across programming languages, and technical environments You will research and develop novel RF modeling solutions You will coordinate with multiple development teams to prioritize and solve complex software and physics problems You will mentor and share RF expertise with your team Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
04/06/2026
Full time
Date Posted: 2026-02-10 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world's leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We're looking for Systems Engineer II - RF Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - RF Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in a DoD Space. You will develop key technologies in the RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You will Do You will champion novel solutions for advanced modeling techniques You will develop new C++ models in an extensible and maintainable fashion You will deploy Radio Frequency (RF) phenomenology and advanced physics concepts in software implementation You will enable our customer's success through adoption and utilization of modeling solutions You will work efficiently inside an established software product, across programming languages, and technical environments You will research and develop novel RF modeling solutions You will coordinate with multiple development teams to prioritize and solve complex software and physics problems You will mentor and share RF expertise with your team Qualifications You Must Have Typically requires a Bachelor's degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of relevant prior experience Experience applying object-oriented software design and programming in C or C++ Experience using Python or MATLAB for evaluation of data sets Experience with UNIX / Linux or Apple OS or Windows DOS command line Experience in radar processing, Imaging RF systems, energy transport, radar physics, signal processing, and/or discrimination algorithms Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make / CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) Advanced Degree in Engineering, Science, Mathematics, or related STEM degree What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - relocation assistance available for this position Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
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. At Boeing's Space Mission Systems, we innovate and collaborate to advance connectivity for a better world. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with exceptional opportunity for professional growth. Find your future with us. SMS is seeking a Chief Engineer, Artificial Intelligence and Autonomy to lead the establishment, growth, and operational maturation of the enterprise AI function across the full portfolio of SMS programs in Seal Beach or El Segundo, CA. This is a newly created management position responsible for increasing the adoption and integration of AI capabilities throughout SMS engineering programs, manufacturing operations, and flight systems. This Chief Engineer will define and execute the Company's AI strategy across strategic domains including manufacturing intelligence, constellation autonomy, spectrum orchestration, and AI-assisted engineering. The role reports to Engineering VP and Space Missions Systems Chief Engineer, with a dotted-line report to the VP of Program Management and cross-functional authority across Engineering, Flight Operations, and Manufacturing. Position Responsibilities: Enterprise AI Strategy & Program Coordination: Develop and maintain a comprehensive enterprise AI strategy that increases the use of AI across the full portfolio of SMS programs, serving as the primary coordinator between programs and engineering leadership Define and present the enterprise AI roadmap to Segment Leadership, the VP of Program Management, and the executive leadership team, including business case definition, value propositions, technology readiness level (TRL) reduction plans, and program on-ramp strategies for AI-assisted engineering and space edge compute Coordinate between SMS programs and engineering organizations on the adoption and deployment of AI-assisted coding tools and autonomous software agents to accelerate development velocity and reduce engineering cycle times Identify, evaluate, and manage strategic AI partnerships, vendor relationships, and technology acquisitions that accelerate the Company's AI capabilities Mature and facilitate the intake, qualification, and prioritization of AI, analytics, and automation projects across programs, ensuring the right problems are addressed with executive sponsorship Organizational Design & Team Building: Establish the AI & Autonomy function as a new organizational capability from the ground up, defining structure, operating model, and governance Recruit, hire, and lead a cross-functional AI team spanning AI/ML engineers, data engineers, data scientists, MLOps engineers, and domain specialists Build and manage an independent AI budget, compute infrastructure (GPU clusters), tooling, and vendor partnerships AI-Assisted Engineering & Autonomous Agents: Drive the adoption of AI-assisted coding and autonomous agents across SMS engineering programs, enabling engineers to leverage generative AI, code copilots, and agentic workflows for design, analysis, and verification tasks Develop the business strategy, TRL reduction roadmap, and program on-ramp plans for integrating AI into engineering workflows and space edge compute flight systems, from concept through flight qualification and operational deployment Facilitate discovery workshops with engineering and program leaders to define problems, quantify value, and scope AI solutions across the portfolio Factory AI Automation & Manufacturing Intelligence: Lead development and deployment of AI automation for factory processes, including photographic and computer vision-based quality inspections of satellite components and assemblies Implement AI-driven engineering buy-off automation, accelerating verification and validation across integration and test workflows through autonomous review and decision support Deploy autonomous research capabilities enabling AI-assisted document analysis, anomaly flagging, and compliance verification across satellite build records and End Item Data Packages (EIDPs) Deliver a fully integrated Factory Product Assurance Automation Platform supporting satellite production at scale Flight Edge Computing & Machine Learning: Create and own the business strategy, TRL reduction plan, and technology maturation roadmap for AI-assisted engineering of space edge compute systems, flight inference processors, and onboard machine learning architectures-from early concept through flight qualification and operational deployment Define hardware architecture for space edge compute, onboard storage, and flight inference systems, enabling AI-driven data store-and-forward, real-time ML inference, and autonomous decision-making capabilities on operational satellites Develop and deploy ML models for constellation scheduling optimization, including beam allocation, power management, thermal budget optimization, and coverage planning Close the sim-to-reality gap by using on-orbit performance truth data to continuously improve predictive models and feed insights back into factory integration and test procedures Spectrum Orchestration & Autonomous Operations: Develop and deploy AI-driven dynamic interference mapping and avoidance protocols across the constellation's operating spectrum, leveraging physics-informed models validated against on-orbit telemetry Build AI-optimized beam-hopping and resource scheduling systems that dynamically allocate spectrum and power resources based on real-time demand, interference conditions, and orbital geometry Deliver the integrated Spectrum Allocation Orchestration Platform as an operational system managing dynamic spectrum access across the commercial constellation Cross-Functional Integration & Stakeholder Engagement: Operate with cross-functional authority across Engineering, Flight Operations, Manufacturing, and Product to embed AI into existing workflows, coordinating with the VP of Program Management to align AI initiatives with program schedules and milestones Establish standing technical syncs with Engineering, Flight Operations, and Manufacturing leadership to ensure AI initiatives are validated against domain expertise before deployment Lead stakeholder communications covering AI strategies, program status, and value delivery across SMS leadership and program teams Create materials and media to convey AI strategies and product value, including presentations, demonstrations, visual diagrams, and technical briefings Position AI as an amplifier of existing engineering capabilities-not a replacement-ensuring adoption is collaborative and trust-based across the organization Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience building and leading artificial intelligence/machine learning organizations from inception, including hiring, budgeting, infrastructure provisioning, and delivery of production machine learning systems Experience with cross-functional leadership working with different organizations and operations teams Experience developing artificial intelligence/machine learning strategies including business case development, TRL (Technology Readiness Level) assessment, and technology transition planning Preferred Qualifications (Desired Skills/Experience): Active TS/SCI clearance 10+ years of experience collaborating with and influencing senior management and executive leadership across engineering, operations, and program management functions Experience with physics-informed machine learning, custom ML models for hardware systems, and AI deployment in safety-critical or mission-critical environments Experience with satellite communications, phased array antenna systems, digital beamforming, or comparable complex RF/signal processing systems Bachelor's degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field Excellent stakeholder management skills including the ability to communicate with and influence people from varying backgrounds, including members of senior leadership teams Experience in aerospace and defense satellite programs (constellation management, payload engineering, launch operations) Experience with AI-assisted software development tools, autonomous coding agents, and agentic AI workflows in engineering environments Experience with manufacturing AI including computer vision quality inspection, predictive maintenance, and factory digital twins Background in space edge computing, flight inference systems, onboard ML, and flight computer architectures for space applications, including TRL maturation of compute hardware Experience with ASIC/custom silicon architectures and understanding of how DSP hardware intersects with ML inference workloads . click apply for full job details
04/06/2026
Full time
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. At Boeing's Space Mission Systems, we innovate and collaborate to advance connectivity for a better world. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with exceptional opportunity for professional growth. Find your future with us. SMS is seeking a Chief Engineer, Artificial Intelligence and Autonomy to lead the establishment, growth, and operational maturation of the enterprise AI function across the full portfolio of SMS programs in Seal Beach or El Segundo, CA. This is a newly created management position responsible for increasing the adoption and integration of AI capabilities throughout SMS engineering programs, manufacturing operations, and flight systems. This Chief Engineer will define and execute the Company's AI strategy across strategic domains including manufacturing intelligence, constellation autonomy, spectrum orchestration, and AI-assisted engineering. The role reports to Engineering VP and Space Missions Systems Chief Engineer, with a dotted-line report to the VP of Program Management and cross-functional authority across Engineering, Flight Operations, and Manufacturing. Position Responsibilities: Enterprise AI Strategy & Program Coordination: Develop and maintain a comprehensive enterprise AI strategy that increases the use of AI across the full portfolio of SMS programs, serving as the primary coordinator between programs and engineering leadership Define and present the enterprise AI roadmap to Segment Leadership, the VP of Program Management, and the executive leadership team, including business case definition, value propositions, technology readiness level (TRL) reduction plans, and program on-ramp strategies for AI-assisted engineering and space edge compute Coordinate between SMS programs and engineering organizations on the adoption and deployment of AI-assisted coding tools and autonomous software agents to accelerate development velocity and reduce engineering cycle times Identify, evaluate, and manage strategic AI partnerships, vendor relationships, and technology acquisitions that accelerate the Company's AI capabilities Mature and facilitate the intake, qualification, and prioritization of AI, analytics, and automation projects across programs, ensuring the right problems are addressed with executive sponsorship Organizational Design & Team Building: Establish the AI & Autonomy function as a new organizational capability from the ground up, defining structure, operating model, and governance Recruit, hire, and lead a cross-functional AI team spanning AI/ML engineers, data engineers, data scientists, MLOps engineers, and domain specialists Build and manage an independent AI budget, compute infrastructure (GPU clusters), tooling, and vendor partnerships AI-Assisted Engineering & Autonomous Agents: Drive the adoption of AI-assisted coding and autonomous agents across SMS engineering programs, enabling engineers to leverage generative AI, code copilots, and agentic workflows for design, analysis, and verification tasks Develop the business strategy, TRL reduction roadmap, and program on-ramp plans for integrating AI into engineering workflows and space edge compute flight systems, from concept through flight qualification and operational deployment Facilitate discovery workshops with engineering and program leaders to define problems, quantify value, and scope AI solutions across the portfolio Factory AI Automation & Manufacturing Intelligence: Lead development and deployment of AI automation for factory processes, including photographic and computer vision-based quality inspections of satellite components and assemblies Implement AI-driven engineering buy-off automation, accelerating verification and validation across integration and test workflows through autonomous review and decision support Deploy autonomous research capabilities enabling AI-assisted document analysis, anomaly flagging, and compliance verification across satellite build records and End Item Data Packages (EIDPs) Deliver a fully integrated Factory Product Assurance Automation Platform supporting satellite production at scale Flight Edge Computing & Machine Learning: Create and own the business strategy, TRL reduction plan, and technology maturation roadmap for AI-assisted engineering of space edge compute systems, flight inference processors, and onboard machine learning architectures-from early concept through flight qualification and operational deployment Define hardware architecture for space edge compute, onboard storage, and flight inference systems, enabling AI-driven data store-and-forward, real-time ML inference, and autonomous decision-making capabilities on operational satellites Develop and deploy ML models for constellation scheduling optimization, including beam allocation, power management, thermal budget optimization, and coverage planning Close the sim-to-reality gap by using on-orbit performance truth data to continuously improve predictive models and feed insights back into factory integration and test procedures Spectrum Orchestration & Autonomous Operations: Develop and deploy AI-driven dynamic interference mapping and avoidance protocols across the constellation's operating spectrum, leveraging physics-informed models validated against on-orbit telemetry Build AI-optimized beam-hopping and resource scheduling systems that dynamically allocate spectrum and power resources based on real-time demand, interference conditions, and orbital geometry Deliver the integrated Spectrum Allocation Orchestration Platform as an operational system managing dynamic spectrum access across the commercial constellation Cross-Functional Integration & Stakeholder Engagement: Operate with cross-functional authority across Engineering, Flight Operations, Manufacturing, and Product to embed AI into existing workflows, coordinating with the VP of Program Management to align AI initiatives with program schedules and milestones Establish standing technical syncs with Engineering, Flight Operations, and Manufacturing leadership to ensure AI initiatives are validated against domain expertise before deployment Lead stakeholder communications covering AI strategies, program status, and value delivery across SMS leadership and program teams Create materials and media to convey AI strategies and product value, including presentations, demonstrations, visual diagrams, and technical briefings Position AI as an amplifier of existing engineering capabilities-not a replacement-ensuring adoption is collaborative and trust-based across the organization Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience building and leading artificial intelligence/machine learning organizations from inception, including hiring, budgeting, infrastructure provisioning, and delivery of production machine learning systems Experience with cross-functional leadership working with different organizations and operations teams Experience developing artificial intelligence/machine learning strategies including business case development, TRL (Technology Readiness Level) assessment, and technology transition planning Preferred Qualifications (Desired Skills/Experience): Active TS/SCI clearance 10+ years of experience collaborating with and influencing senior management and executive leadership across engineering, operations, and program management functions Experience with physics-informed machine learning, custom ML models for hardware systems, and AI deployment in safety-critical or mission-critical environments Experience with satellite communications, phased array antenna systems, digital beamforming, or comparable complex RF/signal processing systems Bachelor's degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field Excellent stakeholder management skills including the ability to communicate with and influence people from varying backgrounds, including members of senior leadership teams Experience in aerospace and defense satellite programs (constellation management, payload engineering, launch operations) Experience with AI-assisted software development tools, autonomous coding agents, and agentic AI workflows in engineering environments Experience with manufacturing AI including computer vision quality inspection, predictive maintenance, and factory digital twins Background in space edge computing, flight inference systems, onboard ML, and flight computer architectures for space applications, including TRL maturation of compute hardware Experience with ASIC/custom silicon architectures and understanding of how DSP hardware intersects with ML inference workloads . click apply for full job details
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Researcher on AI.x, you will play a key role in bringing these priorities to life by advancing cutting-edge AI research and developing innovative solutions. This role is more than a research position. It is an opportunity to join a high-profile team shaping Schwab's future with AI, to create research that matters to millions of clients, and to grow your career in one of the most exciting areas of technology today. As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will mentor and coach junior researchers, helping to build strong scientific practices and foster a culture of continuous learning. You will lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab. What you have Required Qualifications: A master's or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience 7+ years of experience in AI / ML research and development using Python 7+ years of experience building data pipelines and data analyses that interface with large datasets 3 + years of experience using AI models to deliver business value Advanced expertise in machine learning, natural language processing, and / or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python Strong computer science fundamentals, including experience writing unit tests Experience working with LLMs and shipping LLM-powered applications to production Ability to solve complex problems with ambiguous or incomplete data Experience working with and mentoring engineers, through presentations, clear feedback and code reviews Curiosity about new technologies and processes - you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team Strong communication skills - you balance written and verbal communication to clearly share your perspective with others on the team Demonstrated mindset of continuous learning and improvement Demonstrated business domain knowledge related to all products you have worked on In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/06/2026
Full time
Position Type: Regular Your opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Researcher on AI.x, you will play a key role in bringing these priorities to life by advancing cutting-edge AI research and developing innovative solutions. This role is more than a research position. It is an opportunity to join a high-profile team shaping Schwab's future with AI, to create research that matters to millions of clients, and to grow your career in one of the most exciting areas of technology today. As an AI Researcher, you will design, investigate, and develop novel AI models and algorithms that enhance client experience and create business value. You will work closely with architects, engineers, and business leaders to align research efforts with Schwab's enterprise strategy. You will mentor and coach junior researchers, helping to build strong scientific practices and foster a culture of continuous learning. You will lead by example in tackling complex technical challenges, advancing research standards, and driving rapid experimentation from concept to application. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab. What you have Required Qualifications: A master's or other advanced degree in Computer Science, Mathematics, Physics or related field, or equivalent industry experience 7+ years of experience in AI / ML research and development using Python 7+ years of experience building data pipelines and data analyses that interface with large datasets 3 + years of experience using AI models to deliver business value Advanced expertise in machine learning, natural language processing, and / or generative AI Preferred Qualifications: Strong data science fundamentals, including using SQL, Python data frames (e.g. pandas) and in data visualization using Python Strong computer science fundamentals, including experience writing unit tests Experience working with LLMs and shipping LLM-powered applications to production Ability to solve complex problems with ambiguous or incomplete data Experience working with and mentoring engineers, through presentations, clear feedback and code reviews Curiosity about new technologies and processes - you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team Strong communication skills - you balance written and verbal communication to clearly share your perspective with others on the team Demonstrated mindset of continuous learning and improvement Demonstrated business domain knowledge related to all products you have worked on In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
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. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies 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) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% 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. 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: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. 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 and/or 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.
04/06/2026
Full time
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. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies 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) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% 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. 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: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. 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 and/or 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.
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. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies 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) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% 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. 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: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. 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 and/or 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.
04/06/2026
Full time
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. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies 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) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% 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. 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: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. 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 and/or 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.
Position Type: Regular Your opportunity At Schwab, you're empowered to make an impact on your career and the financial industry. Here, innovative thinking meets creative problem solving as we challenge the status quo together. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the research platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a Sr Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, shaping how AI is safely and ethically deployed across our products and services. You'll collaborate across research, engineering, product, legal, compliance, and risk teams to design technical guardrails, evaluation frameworks, and monitoring systems that set industry benchmarks for fairness, transparency, and trust. In this highly visible and cross-functional role, you will ensure Schwab's AI systems set industry benchmarks for safety, fairness, and transparency. You'll work closely with teams across research, engineering, product, legal, compliance, and risk to address complex and emerging challenges in responsible AI. This role offers significant opportunities to innovate-designing and implementing solutions for problems where established best practices may not yet exist-and to help shape the technical and organizational standards that guide Schwab's AI systems. Your work will directly inform executive decision-making, regulatory engagement, and the development of trusted AI products at scale. What You'll Do Design and implement innovative methods for bias detection and develop technical guardrails aligned with ethical AI principles. Collaborate with cross-functional teams to ensure Schwab's AI systems meet regulatory and ethical standards. Build and maintain systems for ongoing monitoring and evaluation of AI models, integrating human-in-the-loop and automated metrics. If you're passionate about responsible AI and eager to innovate in a dynamic environment, this role is for you. What you have We're looking for someone who thrives in ambiguity, is passionate about AI ethics, and enjoys solving complex challenges where no playbook exists. Required Qualifications Master's degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field, or equivalent experience. 10+ years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts). Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability. Experience with responsible generative AI challenges and risk mitigations. Strong analytical, problem-solving, and communication skills for technical and non-technical audiences. Curiosity and passion for AI policy and governance. Preferred Qualifications 7+ years of experience in AI/ML research and development using Python. Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards. Track record of publishing research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS). Experience working with LLMs and deploying LLM-powered applications to production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds and encourage you to apply even if you don't meet every requirement. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
04/06/2026
Full time
Position Type: Regular Your opportunity At Schwab, you're empowered to make an impact on your career and the financial industry. Here, innovative thinking meets creative problem solving as we challenge the status quo together. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. Schwab's AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the research platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As a Sr Responsible AI Researcher, you will bridge the gap between regulation, ethical principles, and technical innovation, shaping how AI is safely and ethically deployed across our products and services. You'll collaborate across research, engineering, product, legal, compliance, and risk teams to design technical guardrails, evaluation frameworks, and monitoring systems that set industry benchmarks for fairness, transparency, and trust. In this highly visible and cross-functional role, you will ensure Schwab's AI systems set industry benchmarks for safety, fairness, and transparency. You'll work closely with teams across research, engineering, product, legal, compliance, and risk to address complex and emerging challenges in responsible AI. This role offers significant opportunities to innovate-designing and implementing solutions for problems where established best practices may not yet exist-and to help shape the technical and organizational standards that guide Schwab's AI systems. Your work will directly inform executive decision-making, regulatory engagement, and the development of trusted AI products at scale. What You'll Do Design and implement innovative methods for bias detection and develop technical guardrails aligned with ethical AI principles. Collaborate with cross-functional teams to ensure Schwab's AI systems meet regulatory and ethical standards. Build and maintain systems for ongoing monitoring and evaluation of AI models, integrating human-in-the-loop and automated metrics. If you're passionate about responsible AI and eager to innovate in a dynamic environment, this role is for you. What you have We're looking for someone who thrives in ambiguity, is passionate about AI ethics, and enjoys solving complex challenges where no playbook exists. Required Qualifications Master's degree (or equivalent) in Computer Science, Engineering, Data Science, Social/Applied Sciences, or related field, or equivalent experience. 10+ years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles (academic doctoral experience counts). Expertise in fairness, alignment, adversarial robustness, or interpretability/explainability. Experience with responsible generative AI challenges and risk mitigations. Strong analytical, problem-solving, and communication skills for technical and non-technical audiences. Curiosity and passion for AI policy and governance. Preferred Qualifications 7+ years of experience in AI/ML research and development using Python. Familiarity with regulatory frameworks (AI-specific or financial sector) and responsible AI standards. Track record of publishing research in AI safety, alignment, or governance (e.g., FAccT, NeurIPS). Experience working with LLMs and deploying LLM-powered applications to production. Experience with adversarial testing, red-teaming, and risk assessment for AI deployments. Strong data science fundamentals, including SQL, Python data frames (e.g., pandas), and data visualization. Experience writing unit tests and building robust data pipelines. Demonstrated business domain knowledge related to financial products. We welcome applicants from diverse backgrounds and encourage you to apply even if you don't meet every requirement. In addition to the salary range, this role is also eligible for bonus or incentive opportunities. What's in it for you At Schwab, you're empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration-so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you - both today and in the future: 401(k) with company match and Employee stock purchase plan Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions Paid parental leave and family building benefits Tuition reimbursement Health, dental, and vision insurance
US AMR-Jones Lang LaSalle Americas, Inc.
Lewisville, Texas
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Job Description Summary The Operating Engineer S3 - Critical Environments will have a strong focus on operating, maintaining, troubleshooting and repairing facility equipment on all systems. Individuals are expected to demonstrate technical expertise in one craft area (Electrical, HVAC, Piping/Plumbing, Central Utility Plant Operations) and be multi-skilled in others in order to successfully complete daily/weekly work assignments. Principal Duties and Responsibilities Task will include but not be limited to: Responsible for maintaining, monitoring, and performing preventive maintenance and continuous operation of all data center systems to maintain 100% Up-time including: fire/life safety, mechanical systems such as (HVAC, chillers, crac, crah, plumbing, controls), electrical including emergency backup systems such as (lighting, UPS, ATS, STS, PDU, generators, primary switchgear, power distribution, transformers), and hot water systems. Monitors operation, adjusts, and maintains refrigeration, chilled water, and air conditioning equipment; boilers, and ventilating and water heaters; pumps, valves, piping, and filters; other mechanical and electrical equipment. Must record readings and make and adjust where necessary to ensure proper operation of equipment. Monitor building management systems and respond to alarms and alerts promptly. Requires the ability to analyze the operation of various systems, determine the cause of any problems/malfunctions and take corrective action as required Comply with departmental policy for the safe storage, usage, and disposal of hazardous materials. Maintains a clean and safe workplace. Learn and understand the data center site in-order to manage incidents and events that put the critical systems at risk. Work order management, including CMMS, Vendor Management, and Customer Facing Tickets. Understanding and complying with emergency escalation procedures. Perform additional job duties as required. Minimum Experience: Education & Experience Systems, emergency generators, and switchgears. High School diploma or GED equivalent 4+ years related work experience. Language Skills Demonstrated verbal/written communication skills. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to read, analyze, and interpret technical procedures, or governmental regulations and codes. Ability to write routine reports and correspondence. Ability to speak effectively before small groups of tenants or fellow employees. Other Skill and Abilities Working knowledge or the capability of developing proficient knowledge of Microsoft Word, Microsoft Excel, Outlook and Microsoft Access and any other software packages. Must be able to professionally interact with tenants and contractors. Preferred Requirements: Corrigo Experience. MCIM / Salesforce Experience. Zendesk Experience. Service Now Experience. Hands-on experience working in a data center/critical facility, including UPS. Physical Requirements: This position will require the following: Walking large, campus-like settings. Frequent walking, climbing, bending, kneeling, lifting, stooping, and working/extending overhead, including: Lifting a minimum of 50 lbs. Climbing stairs and navigating rooftops to access equipment. Using ladders up to 30 ft and working from heights. Ability to Climb a ladder with a 300-lb weight limit. Must be able to work different schedules. Must be able to work Holidays. Must be able to respond to site emergencies. Customer Environment Description A leading global data center developer and operator specializing in delivering state-of-the-art digital infrastructure solutions across the globe. With more than 50 high-performance mission-critical facilities worldwide, the company ensures the continued operation of digital infrastructure for nearly 800 customers, including approximately 200 Fortune 1000 companies. Demanding customer and fast-paced environment, serving some of the largest companies in the world. JLL operates 40 sites for the customer that includes campuses and individual data centers. We provide operational support including operating engineers, chief operating engineers, facility managers, and regional managers. JLL has been supporting the customer since 2021. The relationship has continued to grow as the customer's business has grown. We continue to support current locations and assist in establishing new sites across the United States. We continue to struggle meeting the KPIs set forth by the customer, particularly when it comes to incidents. With an increased focus on training and adequate staffing models, we will be able to meet our obligations and exceed expectations. Our goal is to continue a fruitful relationship that allows us to grow with the customer. This will provide many opportunities for our employees and allow our customer to scale their business. JLL has been supporting the customer since 2021. The relationship has continued to grow as the customer's business has grown. We continue to support current locations and assist in establishing new sites across the United States. - We continue to struggle meeting the KPIs set forth by the customer, particularly when it comes to incidents. With an increased focus on training and adequate staffing models, we will be able to meet our obligations and exceed expectations. Our goal is to continue a fruitful relationship that allows us to grow with the customer. This will provide many opportunities for our employees and allow our customer to scale their business. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Lewisville, TX If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
04/06/2026
Full time
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Job Description Summary The Operating Engineer S3 - Critical Environments will have a strong focus on operating, maintaining, troubleshooting and repairing facility equipment on all systems. Individuals are expected to demonstrate technical expertise in one craft area (Electrical, HVAC, Piping/Plumbing, Central Utility Plant Operations) and be multi-skilled in others in order to successfully complete daily/weekly work assignments. Principal Duties and Responsibilities Task will include but not be limited to: Responsible for maintaining, monitoring, and performing preventive maintenance and continuous operation of all data center systems to maintain 100% Up-time including: fire/life safety, mechanical systems such as (HVAC, chillers, crac, crah, plumbing, controls), electrical including emergency backup systems such as (lighting, UPS, ATS, STS, PDU, generators, primary switchgear, power distribution, transformers), and hot water systems. Monitors operation, adjusts, and maintains refrigeration, chilled water, and air conditioning equipment; boilers, and ventilating and water heaters; pumps, valves, piping, and filters; other mechanical and electrical equipment. Must record readings and make and adjust where necessary to ensure proper operation of equipment. Monitor building management systems and respond to alarms and alerts promptly. Requires the ability to analyze the operation of various systems, determine the cause of any problems/malfunctions and take corrective action as required Comply with departmental policy for the safe storage, usage, and disposal of hazardous materials. Maintains a clean and safe workplace. Learn and understand the data center site in-order to manage incidents and events that put the critical systems at risk. Work order management, including CMMS, Vendor Management, and Customer Facing Tickets. Understanding and complying with emergency escalation procedures. Perform additional job duties as required. Minimum Experience: Education & Experience Systems, emergency generators, and switchgears. High School diploma or GED equivalent 4+ years related work experience. Language Skills Demonstrated verbal/written communication skills. Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to read, analyze, and interpret technical procedures, or governmental regulations and codes. Ability to write routine reports and correspondence. Ability to speak effectively before small groups of tenants or fellow employees. Other Skill and Abilities Working knowledge or the capability of developing proficient knowledge of Microsoft Word, Microsoft Excel, Outlook and Microsoft Access and any other software packages. Must be able to professionally interact with tenants and contractors. Preferred Requirements: Corrigo Experience. MCIM / Salesforce Experience. Zendesk Experience. Service Now Experience. Hands-on experience working in a data center/critical facility, including UPS. Physical Requirements: This position will require the following: Walking large, campus-like settings. Frequent walking, climbing, bending, kneeling, lifting, stooping, and working/extending overhead, including: Lifting a minimum of 50 lbs. Climbing stairs and navigating rooftops to access equipment. Using ladders up to 30 ft and working from heights. Ability to Climb a ladder with a 300-lb weight limit. Must be able to work different schedules. Must be able to work Holidays. Must be able to respond to site emergencies. Customer Environment Description A leading global data center developer and operator specializing in delivering state-of-the-art digital infrastructure solutions across the globe. With more than 50 high-performance mission-critical facilities worldwide, the company ensures the continued operation of digital infrastructure for nearly 800 customers, including approximately 200 Fortune 1000 companies. Demanding customer and fast-paced environment, serving some of the largest companies in the world. JLL operates 40 sites for the customer that includes campuses and individual data centers. We provide operational support including operating engineers, chief operating engineers, facility managers, and regional managers. JLL has been supporting the customer since 2021. The relationship has continued to grow as the customer's business has grown. We continue to support current locations and assist in establishing new sites across the United States. We continue to struggle meeting the KPIs set forth by the customer, particularly when it comes to incidents. With an increased focus on training and adequate staffing models, we will be able to meet our obligations and exceed expectations. Our goal is to continue a fruitful relationship that allows us to grow with the customer. This will provide many opportunities for our employees and allow our customer to scale their business. JLL has been supporting the customer since 2021. The relationship has continued to grow as the customer's business has grown. We continue to support current locations and assist in establishing new sites across the United States. - We continue to struggle meeting the KPIs set forth by the customer, particularly when it comes to incidents. With an increased focus on training and adequate staffing models, we will be able to meet our obligations and exceed expectations. Our goal is to continue a fruitful relationship that allows us to grow with the customer. This will provide many opportunities for our employees and allow our customer to scale their business. This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Location: On-site -Lewisville, TX If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Accepting applications on an ongoing basis until candidate identified.
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. At Boeing's Space Mission Systems, we innovate and collaborate to advance connectivity for a better world. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with exceptional opportunity for professional growth. Find your future with us. SMS is seeking a Chief Engineer, Artificial Intelligence and Autonomy to lead the establishment, growth, and operational maturation of the enterprise AI function across the full portfolio of SMS programs in Seal Beach or El Segundo, CA. This is a newly created management position responsible for increasing the adoption and integration of AI capabilities throughout SMS engineering programs, manufacturing operations, and flight systems. This Chief Engineer will define and execute the Company's AI strategy across strategic domains including manufacturing intelligence, constellation autonomy, spectrum orchestration, and AI-assisted engineering. The role reports to Engineering VP and Space Missions Systems Chief Engineer, with a dotted-line report to the VP of Program Management and cross-functional authority across Engineering, Flight Operations, and Manufacturing. Position Responsibilities: Enterprise AI Strategy & Program Coordination: Develop and maintain a comprehensive enterprise AI strategy that increases the use of AI across the full portfolio of SMS programs, serving as the primary coordinator between programs and engineering leadership Define and present the enterprise AI roadmap to Segment Leadership, the VP of Program Management, and the executive leadership team, including business case definition, value propositions, technology readiness level (TRL) reduction plans, and program on-ramp strategies for AI-assisted engineering and space edge compute Coordinate between SMS programs and engineering organizations on the adoption and deployment of AI-assisted coding tools and autonomous software agents to accelerate development velocity and reduce engineering cycle times Identify, evaluate, and manage strategic AI partnerships, vendor relationships, and technology acquisitions that accelerate the Company's AI capabilities Mature and facilitate the intake, qualification, and prioritization of AI, analytics, and automation projects across programs, ensuring the right problems are addressed with executive sponsorship Organizational Design & Team Building: Establish the AI & Autonomy function as a new organizational capability from the ground up, defining structure, operating model, and governance Recruit, hire, and lead a cross-functional AI team spanning AI/ML engineers, data engineers, data scientists, MLOps engineers, and domain specialists Build and manage an independent AI budget, compute infrastructure (GPU clusters), tooling, and vendor partnerships AI-Assisted Engineering & Autonomous Agents: Drive the adoption of AI-assisted coding and autonomous agents across SMS engineering programs, enabling engineers to leverage generative AI, code copilots, and agentic workflows for design, analysis, and verification tasks Develop the business strategy, TRL reduction roadmap, and program on-ramp plans for integrating AI into engineering workflows and space edge compute flight systems, from concept through flight qualification and operational deployment Facilitate discovery workshops with engineering and program leaders to define problems, quantify value, and scope AI solutions across the portfolio Factory AI Automation & Manufacturing Intelligence: Lead development and deployment of AI automation for factory processes, including photographic and computer vision-based quality inspections of satellite components and assemblies Implement AI-driven engineering buy-off automation, accelerating verification and validation across integration and test workflows through autonomous review and decision support Deploy autonomous research capabilities enabling AI-assisted document analysis, anomaly flagging, and compliance verification across satellite build records and End Item Data Packages (EIDPs) Deliver a fully integrated Factory Product Assurance Automation Platform supporting satellite production at scale Flight Edge Computing & Machine Learning: Create and own the business strategy, TRL reduction plan, and technology maturation roadmap for AI-assisted engineering of space edge compute systems, flight inference processors, and onboard machine learning architectures-from early concept through flight qualification and operational deployment Define hardware architecture for space edge compute, onboard storage, and flight inference systems, enabling AI-driven data store-and-forward, real-time ML inference, and autonomous decision-making capabilities on operational satellites Develop and deploy ML models for constellation scheduling optimization, including beam allocation, power management, thermal budget optimization, and coverage planning Close the sim-to-reality gap by using on-orbit performance truth data to continuously improve predictive models and feed insights back into factory integration and test procedures Spectrum Orchestration & Autonomous Operations: Develop and deploy AI-driven dynamic interference mapping and avoidance protocols across the constellation's operating spectrum, leveraging physics-informed models validated against on-orbit telemetry Build AI-optimized beam-hopping and resource scheduling systems that dynamically allocate spectrum and power resources based on real-time demand, interference conditions, and orbital geometry Deliver the integrated Spectrum Allocation Orchestration Platform as an operational system managing dynamic spectrum access across the commercial constellation Cross-Functional Integration & Stakeholder Engagement: Operate with cross-functional authority across Engineering, Flight Operations, Manufacturing, and Product to embed AI into existing workflows, coordinating with the VP of Program Management to align AI initiatives with program schedules and milestones Establish standing technical syncs with Engineering, Flight Operations, and Manufacturing leadership to ensure AI initiatives are validated against domain expertise before deployment Lead stakeholder communications covering AI strategies, program status, and value delivery across SMS leadership and program teams Create materials and media to convey AI strategies and product value, including presentations, demonstrations, visual diagrams, and technical briefings Position AI as an amplifier of existing engineering capabilities-not a replacement-ensuring adoption is collaborative and trust-based across the organization Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience building and leading artificial intelligence/machine learning organizations from inception, including hiring, budgeting, infrastructure provisioning, and delivery of production machine learning systems Experience with cross-functional leadership working with different organizations and operations teams Experience developing artificial intelligence/machine learning strategies including business case development, TRL (Technology Readiness Level) assessment, and technology transition planning Preferred Qualifications (Desired Skills/Experience): Active TS/SCI clearance 10+ years of experience collaborating with and influencing senior management and executive leadership across engineering, operations, and program management functions Experience with physics-informed machine learning, custom ML models for hardware systems, and AI deployment in safety-critical or mission-critical environments Experience with satellite communications, phased array antenna systems, digital beamforming, or comparable complex RF/signal processing systems Bachelor's degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field Excellent stakeholder management skills including the ability to communicate with and influence people from varying backgrounds, including members of senior leadership teams Experience in aerospace and defense satellite programs (constellation management, payload engineering, launch operations) Experience with AI-assisted software development tools, autonomous coding agents, and agentic AI workflows in engineering environments Experience with manufacturing AI including computer vision quality inspection, predictive maintenance, and factory digital twins Background in space edge computing, flight inference systems, onboard ML, and flight computer architectures for space applications, including TRL maturation of compute hardware Experience with ASIC/custom silicon architectures and understanding of how DSP hardware intersects with ML inference workloads . click apply for full job details
04/05/2026
Full time
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. At Boeing's Space Mission Systems, we innovate and collaborate to advance connectivity for a better world. We are committed to fostering an environment for every teammate that is welcoming, respectful, and inclusive, with exceptional opportunity for professional growth. Find your future with us. SMS is seeking a Chief Engineer, Artificial Intelligence and Autonomy to lead the establishment, growth, and operational maturation of the enterprise AI function across the full portfolio of SMS programs in Seal Beach or El Segundo, CA. This is a newly created management position responsible for increasing the adoption and integration of AI capabilities throughout SMS engineering programs, manufacturing operations, and flight systems. This Chief Engineer will define and execute the Company's AI strategy across strategic domains including manufacturing intelligence, constellation autonomy, spectrum orchestration, and AI-assisted engineering. The role reports to Engineering VP and Space Missions Systems Chief Engineer, with a dotted-line report to the VP of Program Management and cross-functional authority across Engineering, Flight Operations, and Manufacturing. Position Responsibilities: Enterprise AI Strategy & Program Coordination: Develop and maintain a comprehensive enterprise AI strategy that increases the use of AI across the full portfolio of SMS programs, serving as the primary coordinator between programs and engineering leadership Define and present the enterprise AI roadmap to Segment Leadership, the VP of Program Management, and the executive leadership team, including business case definition, value propositions, technology readiness level (TRL) reduction plans, and program on-ramp strategies for AI-assisted engineering and space edge compute Coordinate between SMS programs and engineering organizations on the adoption and deployment of AI-assisted coding tools and autonomous software agents to accelerate development velocity and reduce engineering cycle times Identify, evaluate, and manage strategic AI partnerships, vendor relationships, and technology acquisitions that accelerate the Company's AI capabilities Mature and facilitate the intake, qualification, and prioritization of AI, analytics, and automation projects across programs, ensuring the right problems are addressed with executive sponsorship Organizational Design & Team Building: Establish the AI & Autonomy function as a new organizational capability from the ground up, defining structure, operating model, and governance Recruit, hire, and lead a cross-functional AI team spanning AI/ML engineers, data engineers, data scientists, MLOps engineers, and domain specialists Build and manage an independent AI budget, compute infrastructure (GPU clusters), tooling, and vendor partnerships AI-Assisted Engineering & Autonomous Agents: Drive the adoption of AI-assisted coding and autonomous agents across SMS engineering programs, enabling engineers to leverage generative AI, code copilots, and agentic workflows for design, analysis, and verification tasks Develop the business strategy, TRL reduction roadmap, and program on-ramp plans for integrating AI into engineering workflows and space edge compute flight systems, from concept through flight qualification and operational deployment Facilitate discovery workshops with engineering and program leaders to define problems, quantify value, and scope AI solutions across the portfolio Factory AI Automation & Manufacturing Intelligence: Lead development and deployment of AI automation for factory processes, including photographic and computer vision-based quality inspections of satellite components and assemblies Implement AI-driven engineering buy-off automation, accelerating verification and validation across integration and test workflows through autonomous review and decision support Deploy autonomous research capabilities enabling AI-assisted document analysis, anomaly flagging, and compliance verification across satellite build records and End Item Data Packages (EIDPs) Deliver a fully integrated Factory Product Assurance Automation Platform supporting satellite production at scale Flight Edge Computing & Machine Learning: Create and own the business strategy, TRL reduction plan, and technology maturation roadmap for AI-assisted engineering of space edge compute systems, flight inference processors, and onboard machine learning architectures-from early concept through flight qualification and operational deployment Define hardware architecture for space edge compute, onboard storage, and flight inference systems, enabling AI-driven data store-and-forward, real-time ML inference, and autonomous decision-making capabilities on operational satellites Develop and deploy ML models for constellation scheduling optimization, including beam allocation, power management, thermal budget optimization, and coverage planning Close the sim-to-reality gap by using on-orbit performance truth data to continuously improve predictive models and feed insights back into factory integration and test procedures Spectrum Orchestration & Autonomous Operations: Develop and deploy AI-driven dynamic interference mapping and avoidance protocols across the constellation's operating spectrum, leveraging physics-informed models validated against on-orbit telemetry Build AI-optimized beam-hopping and resource scheduling systems that dynamically allocate spectrum and power resources based on real-time demand, interference conditions, and orbital geometry Deliver the integrated Spectrum Allocation Orchestration Platform as an operational system managing dynamic spectrum access across the commercial constellation Cross-Functional Integration & Stakeholder Engagement: Operate with cross-functional authority across Engineering, Flight Operations, Manufacturing, and Product to embed AI into existing workflows, coordinating with the VP of Program Management to align AI initiatives with program schedules and milestones Establish standing technical syncs with Engineering, Flight Operations, and Manufacturing leadership to ensure AI initiatives are validated against domain expertise before deployment Lead stakeholder communications covering AI strategies, program status, and value delivery across SMS leadership and program teams Create materials and media to convey AI strategies and product value, including presentations, demonstrations, visual diagrams, and technical briefings Position AI as an amplifier of existing engineering capabilities-not a replacement-ensuring adoption is collaborative and trust-based across the organization Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience building and leading artificial intelligence/machine learning organizations from inception, including hiring, budgeting, infrastructure provisioning, and delivery of production machine learning systems Experience with cross-functional leadership working with different organizations and operations teams Experience developing artificial intelligence/machine learning strategies including business case development, TRL (Technology Readiness Level) assessment, and technology transition planning Preferred Qualifications (Desired Skills/Experience): Active TS/SCI clearance 10+ years of experience collaborating with and influencing senior management and executive leadership across engineering, operations, and program management functions Experience with physics-informed machine learning, custom ML models for hardware systems, and AI deployment in safety-critical or mission-critical environments Experience with satellite communications, phased array antenna systems, digital beamforming, or comparable complex RF/signal processing systems Bachelor's degree or higher in Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field Excellent stakeholder management skills including the ability to communicate with and influence people from varying backgrounds, including members of senior leadership teams Experience in aerospace and defense satellite programs (constellation management, payload engineering, launch operations) Experience with AI-assisted software development tools, autonomous coding agents, and agentic AI workflows in engineering environments Experience with manufacturing AI including computer vision quality inspection, predictive maintenance, and factory digital twins Background in space edge computing, flight inference systems, onboard ML, and flight computer architectures for space applications, including TRL maturation of compute hardware Experience with ASIC/custom silicon architectures and understanding of how DSP hardware intersects with ML inference workloads . click apply for full job details
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. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies 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) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% 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. 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: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. 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 and/or 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.
04/05/2026
Full time
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. Phantom Works is hiring a Front-Line Software Engineering Manager to lead mission systems, autonomy, and AI software teams supporting advanced R&D for Boeing Defense, Space & Security. This is a high-visibility role based in Berkeley, MO, with broad impact across Phantom Works and partner programs, including Collaborative Combat Aircraft (CCA) efforts - ideal for a hands-on leader who thrives in fast-paced, prototype-driven environments. This software engineering manager will lead software design and development teams within Phantom Works (PW), joining the Mission Systems, Autonomy, and Artificial Intelligence (MSA2I) organization. Additionally, this position will also serve as the PW Software Skill Team Leader which will provide great visibility across the PW organization while helping recruit new software engineers to join us in our mission. Phantom Works is an advanced research and development organization responsible for engaging customers through cutting-edge visual modeling and simulation; innovating cross-cutting concepts and technologies; prototyping solutions to extend current products and win new programs; developing new businesses and entering new markets. Position Responsibilities: Manages, develops, and motivates 15-20 employees on a multi-skill agile development team performing engineering and technical activities for the mission systems, autonomy, and AI software products Oversees day-to-day program execution for software development teams Collaborates with 3rd party vendors to develop more robust solutions Acquires resources to support development team needs and encourages process improvements Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports Targets and shapes new market opportunities while defining clear product roadmaps Acts as the Staffing focal for the Phantom Works Software organization Basic Qualifications (Required Skills/ Experience): Bachelor's Degree 7+ years of software development experience 3+ years of experience in software management or team lead role 2+ years of experience managing software development teams and delivering projects on time Strong understanding of software development lifecycle (SDLC) and Agile methodologies 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) Experience with C++ and Python Experience with DevOps tools and practice Experience with cloud platforms Experience with LLMs and vibe coding Excellent leadership, mentoring, and team-building skills Strong communication skills to interact with cross-functional teams and stakeholders Ability to manage multiple projects and priorities effectively Travel: 10% 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. 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: $160,650 - $217,350 Applications for this position will be accepted until Apr. 14, 2026 Export Control Requirements: This is not an Export Control position. 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 and/or 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.
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
04/05/2026
Full time
AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.
Marketing Cloud Solution Architect (remote)IntroWe are seeking a passionate Marketing Cloud Solution Architect to help clients unlock business value through innovative marketing technology solutions. In this role, you will leverage your deep understanding of marketing technology platforms to design and implement solutions that create meaningful customer experiences. LocationRemote, within the United States Why Join Us At Ateko you'll work on high-impact projects for some of the biggest names in tech, finance, and beyond. Our culture is collaborative and modern, and we're committed to helping you grow. Competitive salary, training and health coverage are all great. But it's the "extras" that really make our employees feel appreciated. Here's what sets us apart: Flexibility: Most of our team works remotely, and our culture and policies are designed to support work-life balance, no matter where you are. Professional Growth: Share your expertise on our blog or create videos, we'll help you build your professional profile. Work-Life Balance: Personal days are available and we encourage downtime to recharge. Peer Recognition: Celebrate wins with peer-nominated awards and performance bonuses. Diversity and Inclusion: We're proud to be a gender-balanced workplace with a near 50/50 split of male and female-identifying employees. Giving Back: As a Pledge 1% company, we dedicate time and resources to making a positive impact. What You'll DoAs a Marketing Cloud Solution Architect, you will serve as a strategic advisor, architecting and enhancing our clients' marketing technology infrastructure. You will collaborate with multidisciplinary teams to develop and execute solutions that facilitate seamless customer engagement across all touchpoints. The successful candidate will leverage deep technical knowledge to ensure the stability and effectiveness of our clients' marketing technology stack, while maintaining a broader understanding of the marketing technology landscape. As a Marketing Cloud Solution Architect, your role will involve: Designing and implementing marketing technology solutions that drive business value and innovative customer experiences Creating architecture deliverables including technical designs and solution architecture diagrams Leveraging APIs and integration technologies to connect systems and create seamless customer experiences Collaborating with clients to understand their needs and transform marketing operations into modern, data-driven organizations Communicating complex technical concepts to both technical and non-technical stakeholders, from C-suite executives to frontline staff What You Bring6+ years of experience delivering marketing technology solutions across various platforms Deep understanding of marketing technology platforms including CMS, DAM, CDP, MRM, MAPs, and Personalization Engines Strong expertise in Salesforce Marketing Cloud and familiarity with other marketing technology platforms Experience building world-class technical teams and supporting go-to-market solutions Proven track record in business development, including client relationships, RFP responses, and pitch decks Strong background in computer science/engineering or information management (preferred) Relevant industry experience in Consumer, Public Sector, and/or Financial Services Experience in a consulting environment and/or digital agency, with a demonstrated track record of continuing responsibilities, creativity, and innovation. Bilingual fluency in verbal and written French and English is a strong asset. Artificial intelligence may be used to screen, assess or select applicants PIe3e5470adc33-9211
04/05/2026
Full time
Marketing Cloud Solution Architect (remote)IntroWe are seeking a passionate Marketing Cloud Solution Architect to help clients unlock business value through innovative marketing technology solutions. In this role, you will leverage your deep understanding of marketing technology platforms to design and implement solutions that create meaningful customer experiences. LocationRemote, within the United States Why Join Us At Ateko you'll work on high-impact projects for some of the biggest names in tech, finance, and beyond. Our culture is collaborative and modern, and we're committed to helping you grow. Competitive salary, training and health coverage are all great. But it's the "extras" that really make our employees feel appreciated. Here's what sets us apart: Flexibility: Most of our team works remotely, and our culture and policies are designed to support work-life balance, no matter where you are. Professional Growth: Share your expertise on our blog or create videos, we'll help you build your professional profile. Work-Life Balance: Personal days are available and we encourage downtime to recharge. Peer Recognition: Celebrate wins with peer-nominated awards and performance bonuses. Diversity and Inclusion: We're proud to be a gender-balanced workplace with a near 50/50 split of male and female-identifying employees. Giving Back: As a Pledge 1% company, we dedicate time and resources to making a positive impact. What You'll DoAs a Marketing Cloud Solution Architect, you will serve as a strategic advisor, architecting and enhancing our clients' marketing technology infrastructure. You will collaborate with multidisciplinary teams to develop and execute solutions that facilitate seamless customer engagement across all touchpoints. The successful candidate will leverage deep technical knowledge to ensure the stability and effectiveness of our clients' marketing technology stack, while maintaining a broader understanding of the marketing technology landscape. As a Marketing Cloud Solution Architect, your role will involve: Designing and implementing marketing technology solutions that drive business value and innovative customer experiences Creating architecture deliverables including technical designs and solution architecture diagrams Leveraging APIs and integration technologies to connect systems and create seamless customer experiences Collaborating with clients to understand their needs and transform marketing operations into modern, data-driven organizations Communicating complex technical concepts to both technical and non-technical stakeholders, from C-suite executives to frontline staff What You Bring6+ years of experience delivering marketing technology solutions across various platforms Deep understanding of marketing technology platforms including CMS, DAM, CDP, MRM, MAPs, and Personalization Engines Strong expertise in Salesforce Marketing Cloud and familiarity with other marketing technology platforms Experience building world-class technical teams and supporting go-to-market solutions Proven track record in business development, including client relationships, RFP responses, and pitch decks Strong background in computer science/engineering or information management (preferred) Relevant industry experience in Consumer, Public Sector, and/or Financial Services Experience in a consulting environment and/or digital agency, with a demonstrated track record of continuing responsibilities, creativity, and innovation. Bilingual fluency in verbal and written French and English is a strong asset. Artificial intelligence may be used to screen, assess or select applicants PIe3e5470adc33-9211
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Northrop Grumman's Chief Information and Digital Office (CIDO) is seeking an innovative and dynamic IT Program Manager. This leader will support the Tactical Fighters (TF) business unit in the Mission Systems Airborne Multifunction Sensors Division and is based in our Linthicum, MD location. Reporting to the MS CIDO Lead for TF, you will lead cross-functional support teams in a matrixed organizational structure. The candidate selected for this position will be required to work on-site, full-time at our Linthicum, MD campus - this is not a remote work opportunity. The ideal candidate will bring a diverse perspective to the team, enhancing the overall organizational experience with proven cross-functional leadership and team-building skills. In this role, you will be an essential member of the CIDO team, acting as a crucial liaison between CIDO and NGMS. Responsibilities will include but not be limited to the following: Ensure the timely and cost-effective delivery of IT and Cybersecurity services, with an emphasis on alignment with enterprise strategy and technology roadmaps. Ensure operations adhere to sound technical processes in IT/Cybersecurity and are in line with company policies, procedures, and quality standards Manage daily activities and priorities, while leading the design, development, integration, and testing of digital solutions. Oversee the technical quality, performance, budget, and schedule for IT/Cybersecurity aspects related to TF-+ programs. Drive the implementation and adoption of standardized, digital solutions, while actively seeking to identify and retire technical debt. Basic Qualifications: Associate's degree with 10 years of relevant experience, or a Bachelor's degree with 8 years of relevant experience, or a Master's degree with 6 years of relevant experience, or a PhD with 4 years of relevant experience; a High School diploma or equivalent with 12 years of relevant experience may be considered in lieu of a completed degree. Applicants must have an active DoD Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years, or must be enrolled in the DoD Continuous Evaluation Program (CEP) in order to be considered; the required security clearance must be maintained as a condition of continued employment. The selected candidate will be required to obtain and maintain a Special Access Program (SAP/SAR) clearance; maintaining the required clearance will be a condition of continued employment. Demonstrated ability to effectively communicate and interact with a wide range of stakeholders ranging from very technical to non-technical, individual contributors, and executive management. Customer satisfaction and continuous improvement (concepts, processes, and tools) experience (e.g. implementation of Service Now for project and service request tracking). 3+ Years of IT project management experience and demonstrated leadership skills, including planning, scheduling, and workload forecasting. The ability to handle a rapidly changing set of projects and priorities while maintaining a strong, professional presence. Customer-focused with proven leadership and excellent communication skills, with an ability to drive cross functional teams to action when working in a matrix organization. Familiarity with Artificial Intelligence (AI). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or similar STEM related discipline. Project Management Professional (PMP) certification. Experience with Agile based practices or Lean Six Sigma methodologies. Understanding of data analytics/data science principles and practices. Self-starter who works efficiently and effectively, can get up to speed with program processes quickly, and enjoys a fast paced, dynamic environment. Entrepreneurial spirit and an ability to effectively challenge the status quo while providing innovative solutions to complex IT requirements. We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $135,800.00 - $203,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Northrop Grumman Terms & Conditions at northropgrumman and Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
04/05/2026
Full time
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career. Northrop Grumman's Chief Information and Digital Office (CIDO) is seeking an innovative and dynamic IT Program Manager. This leader will support the Tactical Fighters (TF) business unit in the Mission Systems Airborne Multifunction Sensors Division and is based in our Linthicum, MD location. Reporting to the MS CIDO Lead for TF, you will lead cross-functional support teams in a matrixed organizational structure. The candidate selected for this position will be required to work on-site, full-time at our Linthicum, MD campus - this is not a remote work opportunity. The ideal candidate will bring a diverse perspective to the team, enhancing the overall organizational experience with proven cross-functional leadership and team-building skills. In this role, you will be an essential member of the CIDO team, acting as a crucial liaison between CIDO and NGMS. Responsibilities will include but not be limited to the following: Ensure the timely and cost-effective delivery of IT and Cybersecurity services, with an emphasis on alignment with enterprise strategy and technology roadmaps. Ensure operations adhere to sound technical processes in IT/Cybersecurity and are in line with company policies, procedures, and quality standards Manage daily activities and priorities, while leading the design, development, integration, and testing of digital solutions. Oversee the technical quality, performance, budget, and schedule for IT/Cybersecurity aspects related to TF-+ programs. Drive the implementation and adoption of standardized, digital solutions, while actively seeking to identify and retire technical debt. Basic Qualifications: Associate's degree with 10 years of relevant experience, or a Bachelor's degree with 8 years of relevant experience, or a Master's degree with 6 years of relevant experience, or a PhD with 4 years of relevant experience; a High School diploma or equivalent with 12 years of relevant experience may be considered in lieu of a completed degree. Applicants must have an active DoD Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years, or must be enrolled in the DoD Continuous Evaluation Program (CEP) in order to be considered; the required security clearance must be maintained as a condition of continued employment. The selected candidate will be required to obtain and maintain a Special Access Program (SAP/SAR) clearance; maintaining the required clearance will be a condition of continued employment. Demonstrated ability to effectively communicate and interact with a wide range of stakeholders ranging from very technical to non-technical, individual contributors, and executive management. Customer satisfaction and continuous improvement (concepts, processes, and tools) experience (e.g. implementation of Service Now for project and service request tracking). 3+ Years of IT project management experience and demonstrated leadership skills, including planning, scheduling, and workload forecasting. The ability to handle a rapidly changing set of projects and priorities while maintaining a strong, professional presence. Customer-focused with proven leadership and excellent communication skills, with an ability to drive cross functional teams to action when working in a matrix organization. Familiarity with Artificial Intelligence (AI). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or similar STEM related discipline. Project Management Professional (PMP) certification. Experience with Agile based practices or Lean Six Sigma methodologies. Understanding of data analytics/data science principles and practices. Self-starter who works efficiently and effectively, can get up to speed with program processes quickly, and enjoys a fast paced, dynamic environment. Entrepreneurial spirit and an ability to effectively challenge the status quo while providing innovative solutions to complex IT requirements. We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. Our Employee Resource Groups (ERGs) offer opportunities to be a friend, be active, be a volunteer, be a leader, be recognized, and to be yourself. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us! Primary Level Salary Range: $135,800.00 - $203,600.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See Northrop Grumman Terms & Conditions at northropgrumman and Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.
04/05/2026
Full time
Base pay range $140,000.00/yr - $240,000.00/yr Until is a moonshot company building a "pause button" for biology. Our near term focus is organ scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About The Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high leverage ML systems that help develop new cryoprotectant formulations, engineer biologically inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end to end, including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology) Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and Bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate.
STR is hiring a Senior Software Reverse Engineer who has a passion for research and analysis of vulnerabilities in cyber physical systems. Work must be performed onsite. What you'll do: Reverse engineering complex software or firmware targets, ranging from typical Windows/Linux binaries to embedded firmware running non-traditional computer architectures and operating systems Developing and applying automated reverse engineering and binary analysis tools to characterize protocols, interfaces, and functionality of target systems Developing innovative cybersecurity solutions Working in multi discipline teams to tackle challenging problems from a wide variety of technologies to develop innovative cybersecurity solutions Performing vulnerability weaponization, exploit development, payload development, and exploit mitigation on a variety of challenging targets Documenting, demonstrating, and presenting research Solving real world problems that have an impact on national security Who you are: This position requires an Active Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government Bachelors Degree in Computer Science, Computer Engineering, Cybersecurity or related field plus a minimum of 5 years relevant experience (MS or PhD with equivalent work experience may also be considered) Experience with binary analysis of software/firmware Experience with disassembly tools, such as IDA Pro, Binary Ninja, or Ghidra Proficiency in one or more programming languages: C/C++, Python, etc. Proficiency in one or more Assembly Languages: x86, ARM, etc. General understanding of reverse engineering fundamentals: memory layout, calling conventions, etc. Nice to haves: Vulnerability research and analysis Knowledge of weaponizing discovered vulnerabilities into exploits Implant or software patch development Familiarity with binary emulation or vulnerability research, including tools such as QEMU or AFL Experience with DSP architectures, such as Texas Instruments, STMicroelectronics, NXP, or Analog Devices. Knowledge of operating system internals including memory/process/thread management Embedded systems or firmware analysis Experience development custom emulation tools to enable dynamic analysis Experience analyzing and reconstructing code/data flow Automated reverse engineering or software analysis tool development Experience debugging software without source code Knowledge of binary file structures and formats Experience analyzing protocols or message structures Knowledge of anti reverse engineering techniques Knowledge of intrusion detection and anti malware systems and techniques Pay Information Full Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
04/05/2026
Full time
STR is hiring a Senior Software Reverse Engineer who has a passion for research and analysis of vulnerabilities in cyber physical systems. Work must be performed onsite. What you'll do: Reverse engineering complex software or firmware targets, ranging from typical Windows/Linux binaries to embedded firmware running non-traditional computer architectures and operating systems Developing and applying automated reverse engineering and binary analysis tools to characterize protocols, interfaces, and functionality of target systems Developing innovative cybersecurity solutions Working in multi discipline teams to tackle challenging problems from a wide variety of technologies to develop innovative cybersecurity solutions Performing vulnerability weaponization, exploit development, payload development, and exploit mitigation on a variety of challenging targets Documenting, demonstrating, and presenting research Solving real world problems that have an impact on national security Who you are: This position requires an Active Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government Bachelors Degree in Computer Science, Computer Engineering, Cybersecurity or related field plus a minimum of 5 years relevant experience (MS or PhD with equivalent work experience may also be considered) Experience with binary analysis of software/firmware Experience with disassembly tools, such as IDA Pro, Binary Ninja, or Ghidra Proficiency in one or more programming languages: C/C++, Python, etc. Proficiency in one or more Assembly Languages: x86, ARM, etc. General understanding of reverse engineering fundamentals: memory layout, calling conventions, etc. Nice to haves: Vulnerability research and analysis Knowledge of weaponizing discovered vulnerabilities into exploits Implant or software patch development Familiarity with binary emulation or vulnerability research, including tools such as QEMU or AFL Experience with DSP architectures, such as Texas Instruments, STMicroelectronics, NXP, or Analog Devices. Knowledge of operating system internals including memory/process/thread management Embedded systems or firmware analysis Experience development custom emulation tools to enable dynamic analysis Experience analyzing and reconstructing code/data flow Automated reverse engineering or software analysis tool development Experience debugging software without source code Knowledge of binary file structures and formats Experience analyzing protocols or message structures Knowledge of anti reverse engineering techniques Knowledge of intrusion detection and anti malware systems and techniques Pay Information Full Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
04/05/2026
Full time
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
04/05/2026
Full time
Austin, TX; Chicago, IL; Toronto, Canada Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take Two Interactive, our games have been downloaded over 6 billion times-connecting players in 175+ countries through fun, strategy, and a little friendly competition. Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation-and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company's games - Mobile Game Technology! We focus on game technology and shared services that drive the underlying gameplay experience. We're looking for exceptional leaders with a passion for technology and the ability to work with a diverse team. As a Senior Product Manager within Mobile Game Technology, you will be responsible for leading the Product function to design, develop, and maintain Zynga's platform portfolio, accelerating game development and streamlining live operations. This role is focused on overseeing product offerings across Identity, Social, and Core Backend. What You'll Do: Responsible for the full product lifecycle, including product vision, competitive analysis, requirements gathering, feature prioritization, spec writing, roadmap management, and partner alignment. Drive the product strategy, product specifications, and collaborate with game teams to achieve product success. Define how to measure product success and effectiveness. Apply qualitative consumer insights and quantitative data to advise product decisions and build business rationale. Build product vision by understanding customer needs, partnering closely with Product and Engineering leaders on game teams to create feedback loops for continued improvements and identify patterns of need across Zynga. Evangelize our offerings by articulating the value of our products and how they help solve the problems faced by our customers while aligning roadmaps to facilitate go to market execution. Identify & deconstruct competitive offerings in the market, formulate insights and use them to drive future roadmap direction. Responsible for a large Mobile Game Technology product area and/or multiple products. Collaborate closely with other technical leaders in Mobile Game Technology and across fields to drive best practices and positive team culture. What You Bring: 3-5 years of product management in digital products, games, or mobile apps. Familiarity with digital user profiles, data privacy or compliance is beneficial but not required. Start up, social networking, or consulting experience is a strong plus. Strong product management expertise and experience building great products that meet customer needs. Sound product judgment, ability to formulate product strategy and present clear measurable objectives that will lead to achieving our business goals. Ability to create wireframes, product specifications, and white papers. Experience using lean, data driven principles to improve a product. Some experience with data analytics and SQL is preferred. Ability to balance player, game, and business interests while considering technical costs and tradeoffs. Strong project management skills and ability to present work to executive staff. Outstanding written/oral, organizational, analytical abilities, and attention to detail. A driven self starter and a great teammate. BA/BS degree, MBA, or Computer Science preferred. What We Offer You: Zynga offers a world class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness related expenses. The pay range for this position in Toronto at the start of employment is expected to be between $96,400 and $142,660 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy. We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic - not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law. As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at to request any accommodations or for support related to your application for an open position.
