Research Engineer

Posted 19 Hours Ago
Be an Early Applicant
Durham, NC
Entry level
Hardware • Security
The Role
The Research Engineer will develop and implement algorithms for machine learning applications, focusing on target detection and tracking, computer vision, and robotic systems. Responsibilities include collaborating with colleagues and assisting with customer interactions while demonstrating research results.
Summary Generated by Built In

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Teledyne Scientific Company (TSC) has a legacy of over 50 years of advanced research and technology development. Our customer base consists of DARPA, ONR, AFRL, ARL, and other government and proprietary customers. TSC’s Intelligent Systems Laboratory in North Carolina is a state-of-the-art research and development research facility, dedicated to R&D in the areas of computational neuroscience, deep learning, machine learning, persistent surveillance, autonomous systems and computer vision. The laboratory currently is host to world-class scientists and engineers, with advanced degrees in computer science, mathematics, electrical engineering, neuroscience, chemistry, biomedical engineering and mechanical engineering.

We are seeking exceptional Research Engineer to support advanced research and development projects that require algorithm and software development for machine learning applications. This position is onsite, at our research laboratory in Research Triangle Park, Durham, North Carolina.

 

***$10K SIGN-ON BONUS ***

 

Primary Responsibilities:

Define, develop, and deliver novel solutions to a broad range of problems that include applications in target detection and tracking, deep learning, machine learning and decision systems, computer vision, signal analysis, robotic systems, for the Government and commercial industry. Specific duties include:

  • In collaboration with other colleagues, develop and implement advanced algorithms on PC, GPU and SoC (system on a chip) architectures (~95%)

  • Assist with customer interaction to demonstrate and deliver research results through written reports, briefings, and participation in program reviews (~5%)

  • A small amount of travel (less than 5% time) is anticipated.

Skills/Experience:

  • 0-5 years of experience

  • Strong foundation in numerical techniques (FFT, Monte Carlo, finite elements, linear algebra, PDEs, ODEs, statistics, etc.) are required

  • Experience with specific computational domains, such as machine learning/artificial intelligence, image processing, signal processing is required

  • Experience with CUDA and GPU programming strongly desired

  • Familiarity with scientific programming in Python is required

  • Experience with C or C++ is required

  • Familiarity with standard math libraries (e.g., BLAS/LAPACK/ScaLAPack, etc.)

  • Familiarity with software development practices (revision control/compiler tricks/debugger, etc.), under Windows/Linux/Unix is required

  • Knowledge of computer architecture (GPU/FPGA/distributed computing), operating systems, networking, storage systems, Unix/Linux, MATLAB, etc. is a plus

  • Excellent interpersonal and communication (presentation & writing) skills

  • Experience in proposal writing is a plus

  • Coursework in software development and computer architecture required

  • Coursework in algorithms is strongly desired

 

Education:

  • Candidates are required to have a B.S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering

 

Citizenship & Security Clearance:

  • Candidates are required to be U.S. Citizens

  • Current SECRET clearance or minimally able to obtain Security Clearance

What can Teledyne offer YOU?
A Competitive Salary & Benefits Package

Excellent Health, Dental, Vision
Paid Vacation Time
Paid Sick Time
Life Insurance Benefits
Paid Holidays
401(k) Eligibility
Employee Stock Purchase Plan
Educational Tuition Reimbursement
Employee Fun Events throughout the year

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne 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 characteristic or non-merit based factor made unlawful by federal, state, or local laws. ​

Top Skills

C
C++
Python
The Company
HQ: Wilsonville, OR
3,092 Employees
On-site Workplace
Year Founded: 1978

What We Do

Teledyne FLIR designs, develops, manufactures, markets, and distributes technologies that enhance perception and awareness. We bring innovative sensing solutions into daily life through our thermal imaging, visible-light imaging, video analytics, measurement and diagnostic, and advanced threat detection systems.

Teledyne FLIR offers a diversified portfolio that serves a number of applications in government & defense, industrial, and commercial markets. Our products help first responders and military personnel protect and save lives, promote efficiency within the trades, and innovate consumer-facing technologies. Teledyne FLIR strives to strengthen public safety and well-being, increase energy and time efficiency, and contribute to healthy and intelligent communities.

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