Summer 2024, Intern: Computer Vision Research (Ph.D. students)

Date Posted

2024-02-20

Country

United States of America

Location

RC1: United Tech Research Center 411 Silver Lane, East Hartford, CT, 06108 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):

Role Overview

The Advanced Learning and Analytics team researches and develops machine learning, computer vision, reinforcement learning, large language models and human computer interaction solutions for a variety of high impact real world problems in the aerospace, manufacturing and defense industries.

We are looking for a 2024 summer intern to conduct research in the broad topic of 3D computer vision, computer graphics, structure from motion, 3D reconstruction, neural radiance fields, neural implicit surfaces and feature matching.

Primary Responsibilities

Algorithm development, software implementation and model training for complex 3D computer vision applicationsCommunicating research results to internal and external stakeholdersDevelop state of art machine learning and computer vision models and apply them to real world datasets at scaleSupport for publishing results in top conferencesWork with a small focused team on developing 3D vision modelsLearn about the broad areas of ML/CV applications in aerospace and defense

Required Qualifications

Two years of PhD level research experience in broad area of computer vision and machine learningPrior coursework in broad areas of computer vision and machine learningExperience training complex ML pipelines for 3D vision applicationsML software and coding experience in Python and familiarity with ML frameworks like Pytorch, TensorflowPublication record in top venues like CVPR, NeurIPS, ICLR

Preferred Qualifications

Three to Four years of PhD level research experience in any of the following topics: 3D computer vision, computer graphics, structure from motion, 3D reconstruction, neural radiance fields, neural implicit surfaces, feature matchingDemonstrated mathematical aptitude in the areas of computer vision, machine learningAbility to set research direction and work indepen Date Posted:2024-04-10 Country: United States of America Location: TX360: Dallas - North Bldg 13510 North Central Expressway North Building, Dallas, TX, 75243 USA Position Role Type: Onsite About Us:

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.

Job Summary

We have an exciting opportunity for a Radar Lead Systems Engineer (LSE). In this role the Radar LSE will join the Sensors Space and Air Department product line overseeing the various engineering projects within the program and interacting with other technical members of the program team. The candidate will lead a radar development program by managing system analysis, requirements flow down & specification, interface design, and software development for the radar system.

The program’s radar Lead Systems Engineer is responsible for the engineering execution of key technical elements within the program. You will establish and manage the program vision, strategy, and goals to align the program with the customer and facilitate conflict resolution; ensure technical integrity and engineering execution across all IPTs, CPTs, and disciplines within the Program; and is the primary program technical POC with the customer senior technical counterparts. This is a great opportunity to participate in a large Raytheon Technologies radar development team.

This is an On-Site role in Dallas, Texas

Responsibilities to Anticipate

• Lead a multi-disciplinary team, requiring experience across all design engineering disciplines, technical supplier management, business development, and program leadership.
• Ensure overall Engineering execution within the program, having decision authority over Engineering activities.
• Conduct Engineering Business Program Reviews (EBPRs) and Engineering Program Reviews (EPRs) at authorized level.
• Support Program Management Reviews (PMRs) for all EngineeringManage overall budget and schedule for program Engineering tasks, working closely with the engineering discipline organizations to review program execution on a periodic basis to ensure meeting schedule and cost.
• Develop executable Estimates at Completion (EAC) for the program in collaboration with the responsible Engineering Cost Account Managers.
• Maintain staffing forecasts are accurate and up to date, and work with Engineering discipline organizations to ensure appropriate staffing is assigned – local, distributed and/or supplier.
• Provide oversight and review all program metrics for engineering, ensuring application of Technical Performance Measures (TPMs) across the program as a means for measuring technical progress and assessing risk.
• Establish a strong technical baseline with disciplined change management, while operating in a rapid development environment.
• Oversee and manage engineering Risks and Opportunities across the program, leveraging the enterprise to mitigate key risks and capture opportunities.
• Establish effective engineering management of suppliers in accordance with subcontractor statement of work, requirements specifications, and engineering processes.
• Identify and exploit synergies across programs and across the Enterprise.
• Provide accurate and timely status reports to Program and Engineering organizations.
• Communicate with executive leadership, customers and multidisciplinary teams of system design professionals including systems, electrical, mechanical, software, and logistics engineers

Basic Qualifications

Typically requires a bachelor’s degree in science, Technology, Engineering, Mathematics, or related STEM discipline with 10+ years of relevant experience with specific experience in the following areas:

Experience as a Lead Systems, Design Engineer, Integrated Product Team (IPT) Lead or Program EngineerAirborne and radar sensing systems designUse-case development and operational analysisIntegration, test, and system qualificationEarned Value Management System (EVMS) including Control Account Management (CAM) Systems and design engineering experienceAn active DoD Top Security clearance is required. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance.

Preferred Qualifications

Model Based Systems Engineering (MBSE) toolsRadar signal processing and digital communications experienceFactory establishment and production experience in commercial and/or defense industriesCapture Management and Program Management leadership experience

What We Offer

Whether you are just starting out on your career journey, or are an experienced professional, we offer a robust total rewards package including compensation, healthcare, wellness, retirement, work/life benefits, career development and recognition programs. Some of the great benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and dependent backup care.

The salary range for this role is 118,000 USD - 246,000 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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