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Internship Signal Processing Engineer Jobs in New York

Computer Vision/ML Engineer

Brooklyn, NY · On-site

$121K - $142K/yr

... classical signal processing and ML based vital sign extraction • Establish engineering best practices and help reduce technical debt as we scale • Contribute to the architecture and ...

Expectations Candidates will be responsible for * developing statistical signal processing, machine learning, and various mathematical algorithms for biomedical engineering applications * conducting ...

Internship Details * Duration: 10-12 weeks (Summer) or semester-long (Fall/Spring) * Schedule ... Support engineering staff with data collection, process observations, and basic analysis on ...

Embedded Software Engineer

Clifton, NJ · On-site +1

$100 - $120K/hr

... engineering, scientific and manufacturing requirements ... You will develop real time embedded systems involving software for digital signal processing ...

Experience with concepts in signal processing, logic design, computer architecture. * Experience ... Familiarity with Digital Engineering, sysML/Model Based System Engineering (MBSE), and System ...

Systems Engineering L3

Clifton, NJ · On-site

$63 - $68/hr

Experience with concepts in signal processing, logic design, computer architecture. * Experience ... Familiarity with Digital Engineering, sysML/Model Based System Engineering (MBSE), and System ...

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

You'll join a team of hardworking engineers that are passionate about understanding what drives ... Work with some of the brightest minds in signal processing If This Describes You.. * A postgraduate ...

This position is ideal for engineers who want to accelerate their technical development while ... Foundational understanding of digital signal processing theory. Salary Range: $72,800.00-$97,100 ...

Experience with FPGA design and real-time GPU implementations supporting optical digital signal processing algorithms is highly desired. * Programming Mastery: Exceptional programming skills, with a ...

Showing results 41-60

Internship Signal Processing Engineer information

What does an internship signal processing engineer do?

An Internship Signal Processing Engineer assists in designing, analyzing, and implementing algorithms that process signals such as audio, images, or sensor data. They typically work under the supervision of experienced engineers, supporting projects involving data collection, filtering, feature extraction, and performance evaluation. Interns may use tools like MATLAB, Python, or C++ to develop and test digital signal processing (DSP) solutions. The role provides hands-on experience in applying theoretical knowledge to real-world engineering problems and often includes collaboration with multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an internship signal processing engineer, and why are they important?

To thrive as an Internship Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming skills, often supported by progress toward a relevant engineering degree. Familiarity with MATLAB, Python, and signal processing libraries, as well as basic experience with simulation or hardware tools, is typically expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for this role. These skills enable interns to contribute to technical projects, solve complex problems, and collaborate efficiently in engineering environments.

What types of projects do internship signal processing engineers typically work on, and how do they collaborate with senior team members?

Internship Signal Processing Engineers often work on real-world projects such as developing algorithms for audio, image, or communication signal processing, and analyzing large datasets to improve existing systems. Interns usually collaborate closely with senior engineers and researchers, who provide mentorship and guidance throughout the design, implementation, and testing phases. Regular team meetings and code reviews are common, creating an environment where interns can learn industry best practices and receive constructive feedback. This structure helps interns build both technical and teamwork skills, laying a strong foundation for future career advancement.
What are the most commonly searched types of Signal Processing Engineer jobs in New York? The most popular types of Signal Processing Engineer jobs in New York are:
What cities in New York are hiring for Internship Signal Processing Engineer jobs? Cities in New York with the most Internship Signal Processing Engineer job openings:
Infographic showing various Internship Signal Processing Engineer job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Computer Vision/ML Engineer

Norbert Health

Brooklyn, NY • On-site

$121K - $142K/yr

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Norbert Health is building autonomous robots that deliver healthcare. They are seeking a lead deep learning engineer to spearhead the development of their groundbreaking sensing technology, focusing on designing and deploying computer vision models for real-time inference.
Responsibilities:
• Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
• Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
• Build and maintain MLOps pipelines for model training, validation, and performance monitoring
• Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
• Establish engineering best practices and help reduce technical debt as we scale
• Contribute to the architecture and implementation of the computer vision stack from research to production
Qualifications:
Required:
• Master's or PhD degree in Machine learning / Computer vision
• Strong fundamentals: data structures, CV algorithms, and systems programming
• Strong C++ skills - this is critical for our edge deployment pipeline
• Solid Python proficiency for ML experimentation and tooling
• Ability to work independently, solve complex problems, and drive projects to completion
• 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
• Experience with PyTorch and model optimization for edge AI
• Proven ability to take models from research to production on embedded hardware
Preferred:
• Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
• MLOps experience (experiment tracking, model versioning, performance monitoring)
• Experience with sensor fusion (RGB, IR, depth cameras)
• Background in medical devices, regulated environments, or healthcare applications
• Experience working in fast-moving early-stage environments
Company:
Norbert Health develops a home medical pod that monitors the health of families using contactless sensors. Founded in 2019, the company is headquartered in Brooklyn, USA, with a team of 11-50 employees. The company is currently Early Stage.