Algorithm Developer IV

Spectraforce Technologies; Redmond (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Spectraforce Technologies in Redmond, WA, is seeking an Algorithm Developer IV to design and implement ML algorithms for hardware deployment. The role focuses on testing, optimization, and porting software to embedded hardware, with onsite work 3 days per week.

You will train and optimize ML pipelines, develop advanced methods for deep learning tasks, and work across AI tools to deploy algorithms onto hardware. 1–6 years experience is typical.

Qualifications

• Bachelor’s degree in CS/Math or related field; Masters preferred.
• 1–6 years of experience in algorithm development or ML.
• Experience with PyTorch or TensorFlow is a plus.

Responsibilities

• Training and optimizing ML/hybrid pipelines for hardware deployment.
• Develop and apply advanced methods, theories, and research techniques of algorithms related to deep learning.
• Design, implement and test algorithms for various ML tasks.
• Design statistical models and algorithms for analysing workload performance.
• Synthesize algorithm needs for customer requirements.
• Identify, troubleshoot, and resolve issues in software.
• Deploy algorithms to hardware and improve performance.

Skills

Python

ML Algorithms

AI usage

C++

PyTorch

TensorFlow

Embedded systems

Education

Bachelor's degree in computer science, mathematics, or related field

Masters preferred

Tools

Raspberry Pi

NVIDIA Jetson

FPGA

Embedded systems

C++

Job description

Job Title

Algorithm Developer IV

Location

Redmond WA - Onsite 3 days per week in office - M-F 8-5 hours

Duration

12 months

Job Description

Summary

• The main function of an algorithm developer is to design and implement algorithms for machine learning.
• The typical developer will be able to test the effectiveness of routines against requirements.
• In addition, embedded firmware efforts are needed to deploy the developed algorithms to hardware.

Job Responsibilities

• Training and Optimizing ML/hybrid pipelines for hardware deployment
• Develop and apply advanced methods, theories, and research techniques of algorithms related to Deep Learning
• Designs, implements and tests algorithms for a variety of machine learning (deep learning) tasks
• Design statistical models and algorithms for analysing workload performance
• Synthesize algorithm needs and designs for customer requirements.
• Identify, troubleshoot, and resolve issues found with software
• Deploy algorithms to hardware. Improve software performance

Must-Have Skills

• Python
• ML Algorithms
• AI usage (Claude, ChatGPT) for coding and running projects

Nice-to-have Skills

• Embedded system knowledge
• ARM CPU-NPU
• Firmware understanding

Years of Experience

• 1 - 6 (max) years of experience

Degrees/Certifications Required

• Minimum) Bachelor's Degree in computer science, mathematics, or related field preferred, Masters preferred

Skills

• Experience with algorithm development (PyTorch, Tensorflow)
• Experience with object-oriented programming in C++ or other languages
• Experience with embedded systems (e.g. Raspberry Pi, NVidia Jetson, FPGA) and deploy algorithms to hardware
• Experience with machine learning toolkits and platforms
• Ability to deploy algorithms to hardware by porting them to firmware
• Ability to manage projects autonomously.

Story Behind the Need - Business Group & Key Projects

Key Projects/Day-to-Day Responsibilities

• Training and Optimizing ML/hybrid pipelines for hardware deployment

Purpose/Size of this team & where does this position fit within the team?

• Sensors and systems team. Use sensors to collect data and run ML algorithms and use that to build prototypes. Wire bulids and robotics