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Software Engineer

Aditi Consulting
Redmond, WA, United States
$85-$90 an hour
Full-time

Job Title : Software Engineer

Job ID : 57716-1

Location : Redmond, WA

Pay Scale Range : $85 to $90 per hr. on W2

Job Description

Required a software engineer, who will be responsible for integrating components and building scalable and reusable systems that allow for easy software updates and component swaps.

In addition, you will be responsible for developing software that automates hardware systems to enable data collection. This will require a strong understanding of hardware components and firmware, as well as programming skills in languages such as C++ and Python.

Key Requirement :

Setting up and maintaining data collection SW

Building abstractions for hardware, and scaling solutions to many different types of hardware

C++ & Python debugging, understand different kinds of error analysis and communicate with other Research Engineers and Scientists.

Writing SW that interfaces with HW.

Design and execute experiments to validate product quality and investigate HW / SW issues.

Qualifications

Strong programming skills in languages such as C++ and Python

Experience working with hardware components and interfacing with firmware

Ability to work collaboratively with cross-functional teams

Strong problem-solving and analytical skills and attention to detail

Strong testing and debugging skills

Requirements gathering skills

Top 3 Hard Skills Required + Years of Experience

1. Minimum 2 years experience with Linux.

2. Minimum 2 years experience with Python.

3. Minimum 2 years experience with Configuration Management

4. Minimum 2 years experience with ROS / ROS2 and TensorFlow / Any sort of ML packages.

Job Details :

  • Create and uphold efficient, scalable, and distributed training systems including data preprocessing, training orchestration, and model assessment for training large-scale AI models.
  • Enhance the efficiency of training procedures to improve performance and use of resources, while maintaining scalability and dependability.
  • Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms.
  • Develop and design benchmarks for evaluating ML models

Interested resource please share in resume at [email protected]

7 hours ago
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