Date Posted:2024-03-12 Country:United States of America. Location:RCCA 1: UTRC California Office 2855 Telegraph Avenue, Berkeley, CA, 94705 USA - Position Role Type:Hybrid. RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the ed... more details
Date Posted:
2024-03-12
Country:
United States of America
Location:
RCCA1: UTRC California Office 2855 Telegraph Avenue, Berkeley, CA, 94705 USA
Position Role Type:
Hybrid
RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
To realize our full potential, RTX is committed to creating a company where all employees are respected, valued, and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors, and communities to succeed.
The following position is to join our RTX Research Center (RTRC) AI Systems Engineering team.
Job Description
The AI Systems Engineering team researches and develops solutions using model-based systems engineering, formal methods, planning, decision making, controls, machine learning, anomaly detection, computer vision, and failure analysis techniques for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries.
We are looking for an AI Systems Engineer to help develop, deploy, monitor, and maintain ML/AI-based platforms and tools relevant to safety-critical AI-enabled systems.
You will get to develop state-of-art AI Systems tools and apply them to real world datasets at scale. Interact and learn from leading researchers on a variety of topics working at RTRC. Support for publishing results in top conferences. You will work with a small and focused team on implementing AI-based systems engineering tools for deployment of AI in safety-critical AI-enabled systems. You will get to work on challenging problems within the broad areas of AI/ML applications in aerospace and defense.
Role Overview
The AI Systems Engineer will be responsible for one or more of the following activities:
Leverage your strong software engineering expertise and experience to develop robust solutions for real-world problems
Collaborate with researchers on projects related to machine learning and artificial intelligence
Algorithm development, software implementation, performance profiling and optimization for various kinds of AI/ML workloads
AI Platform Development: Assist in design and development of AI/machine learning-based platforms for various safety-critical technical problems
AI/ML Model Deployment: Assist in deploying AI/machine learning models into production environments
AI/ML pipeline and model monitoring: Contribute to code development and tool rollout for monitoring and maintenance of model performance and infrastructure health
Automation: Participate in the development and maintenance of automated AI systems pipelines
Collaboration: Under guidance from project leads, collaborate with the domain experts to integrate machine learning models into production systems
Documentation: Maintain documentation of AI platform processes and procedures
Problem Solving: Assist in troubleshooting and resolving AI platform-related issues
Research and stay updated on the latest trends and technologies in DevOps, MLOps, and AIOps
Required Qualifications
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field
5+ years of experience in software engineering, data engineering, or machine learning engineering
Proficient in one or more programming languages, such as Python, Java, C++
Proficient in working with AI frameworks and tools, such as TensorFlow, PyTorch, Scikit-learn
Experience developing, training, and debugging ML pipelines for computer vision, natural language processing (NLP)
Experience in working with cloud platforms, especially AWS and Azure
Experience in working with CI/CD frameworks such as GitLab, Jenkins
Experience in working with container and workload management frameworks such as Docker, Kubernetes, Airflow
Experience in infrastructure as code technologies such as CloudFormation, Terraform, and Open Tofu
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Ability to work independently and in a team environment
Preferred Qualifications:
Deep expertise across a variety of DevOps, MLOPs, and AIOps tools and technologies
Demonstrated experience in prototyping and shipping AI-based tools
Experience in working with big data technologies, such as Hadoop, Spark, Kafka
Experience in working with platforms such as DataBricks, Amazon Sagemaker, W&B (Weights and Biases), Kubeflow, SnorkelFlow, Labelbox, DVC, Doit, GreatExpectations
Experience in working with DevOps tools such as Puppet, Ansible, Packer, Vagrant
Experience with security-focused programming languages such as Rust, WebAssembly
Experience developing, training, debugging, and maintaining ML pipelines for Large Language Models (LLMs), foundational models, time-series forecasting, anomaly detection
Experience working with DOD and other govt. agencies
Experience in open-source software development
U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.
Education:
Location
Hybrid: Berkeley, CA.
Requires advanced knowledge of work area typically obtained through advanced education combined with experience. May have practical knowledge of project
management. Practical to substantial knowledge of RTX projects, programs or systems with the ability to make enhancements and leverage in daily work.
Typically requires:
A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience
Engineering/Other Technical Positions:
Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.
The salary range for this role is 77,000 USD - 163,000 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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