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# Software Engineer - C++ Algorithms

- **Company:** SoundHound Inc.
- **Location:** Santa Clara, CA, United States
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Data Structures, Linux, Natural Language Processing, Speech Recognition, Scripting, Information Technology, Search Engines, Software Coding
- **Published:** August 6, 2026
- **Apply:** https://www.wayup.com/i-j-soundhound-927337358828322/

## About the Role

+ Experience writing code in a context where efficiency matters
 + Strong coding skills in C/C++
 + Deep grasp of algorithms and data-structures, with ability to innovate
 + Proficiency with one or more scripting languages
 + Strong command of Linux environment
 + BS/MS in Computer Science or equivalent
NICE TO HAVES:

 + Experience with search/relevance algorithms
 + Exposure to Natural Language Processing and related concepts
 + Exposure to speech recognition related concepts

## Description

Algorithms are at the heart of what we do here at SoundHound. In our mission to make audio-based searching as accurate, cost-effective, and scalable as text-based searching, we have re-invented many wheels, sometimes turning conventional search wisdom on it's head, and often solving problems that have never had scalable solutions before (such as our sing/hum based search engine). In this role, you'll be part of a small and highly talented team working on evolving our speech recognition technologies, and continuing to innovate at an industry-leading pace. ABOUT YOU:

 + You love algorithms, and the challenge of writing scalable solutions to complex problems
 + You are a fast learner, with strong coding skills which enable you to meet aggressive deadlines while producing maintainable code
 + You enjoy being part of a small team and wearing multiple hats
 + You love working on open ended problems that have never been solved before
RESPONSIBILITIES:

 + Lots of hands-on coding, testing, and scripting in a linux environment
 + Design and implement algorithmic solutions to non-trivial problems
 + Analyze and improve existing algorithmic solutions (making them faster and more accurate)
 + Learn new domains quickly when necessary


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