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Low Latency Developer Jobs in Arizona (NOW HIRING)

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... Design, implement, and optimize high-throughput, low-latency image processing pipelines for real ...

Citizens

Principal Data Engineer - FLINK

Phoenix, AZ · On-site

Engineer and optimize low-latency, high-throughput data pipelines for operational and analytical workloads. * Develop and maintain stateful stream processing applications, including windowing, joins ...

Citizens

Principal Data Engineer - FLINK

Phoenix, AZ · On-site

Engineer and optimize low-latency, high-throughput data pipelines for operational and analytical workloads. * Develop and maintain stateful stream processing applications, including windowing, joins ...

Charter Global

Hadoop Developer

Phoenix, AZ

... low latency Experience with leading Design & Architecture is an advantage NoSQL experience, mainly around MongoDB is an advantage Web dev experience, mainly around Angular is an advantage Hadoop/Java ...

Charter Global

Hadoop Developer

Phoenix, AZ · On-site

Company Description large Telecommunication client Senior Hadoop Tools Developer • Computer ... and low latency • Experience with leading Design & Architecture is an advantage • NoSQL ...

supremesoft

Java Developer

Phoenix, AZ

$50.75 - $65.50/hr

Years of Experience: 5 + Years Java & Spring Batch Experience in designing Applications for High availability , Low latency Able to learn new technologies quickly, build POCs, perform comparative ...

Tanisha Systems

Java developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Looking only GC and Citizen The Financial Products team is looking for a self-motivated senior Java engineer to join the team and help build low-latency, high-throughput web services to help us ...

supremesoft

Java Developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Years of Experience: 5 + Years Java & Spring Batch • Experience in designing Applications for High availability , Low latency • Able to learn new technologies quickly, build POCs, perform ...

Axon

Staff Wireless Software Engineer

Scottsdale, AZ · On-site

Architect low-latency, high-reliability PTT and real-time voice transport systems * Develop ... Mentor engineers and set technical direction across projects What You Bring * 10+ years experience ...

Tanisha Systems

Java developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

Looking only GC and Citizen The Financial Products team is looking for a self-motivated senior Java engineer to join the team and help build low-latency, high-throughput web services to help us ...

Axon

Staff Wireless Software Engineer

Scottsdale, AZ · On-site

Architect low-latency, high-reliability PTT and real-time voice transport systems * Develop ... Mentor engineers and set technical direction across projects What You Bring * 10+ years experience ...

Provn

Senior Software Engineer

Scottsdale, AZ · Remote

$137K - $257K/yr

Design and tune low-latency, high-performance services to meet latency and throughput targets under real-world load * Apply secure engineering practices throughout the lifecycle, safeguarding the ...

Precision Technologies Corp

Sr Cloud Engineer

Scottsdale, AZ · On-site

$56.25 - $75/hr

Experience supporting real-time systems, low-latency architecture, and transactional integrity Preferred certificate AWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features ... Data engineering skills: ETL/ELT, real-time and batch pipelines * Excellent communication ...

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using ... Build low-latency streaming solutions using Dataflow + Pub/Sub * Manage error handling, retries ...

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Low Latency Developer information

What is a low latency developer?

A Low Latency Developer is a software engineer who specializes in designing and implementing systems that process data and execute tasks with minimal delay. These professionals often work in industries like finance, telecommunications, and gaming, where speed and efficiency are critical. Their responsibilities include optimizing code, reducing network and processing delays, and ensuring that applications meet strict timing requirements. They typically use programming languages like C++ or Java and work with real-time operating systems and high-performance networking technologies.

What are typical challenges faced by low latency developers when optimizing trading systems?

Low Latency Developers often face challenges such as minimizing network and processing delays, efficiently managing memory, and ensuring that code changes do not introduce bottlenecks. The role requires constant profiling and benchmarking to identify performance issues, as even microseconds can impact trading outcomes. Collaborating closely with infrastructure, network, and trading teams is essential to align software improvements with hardware capabilities and market requirements.

What are the key skills and qualifications needed to thrive as a low latency developer, and why are they important?

To thrive as a Low Latency Developer, you need strong programming skills in C++ or Java, deep knowledge of computer science fundamentals, and experience with high-frequency trading or real-time systems. Familiarity with performance profiling tools, network protocols, and low-latency messaging systems is typically required. Exceptional problem-solving abilities, meticulous attention to detail, and effective teamwork set top performers apart in this field. These skills are crucial for building robust, ultra-fast software that gives organizations a competitive advantage in time-sensitive environments.

What is the difference between Low Latency Developer vs Network Engineer?

AspectLow Latency DeveloperNetwork Engineer
Primary FocusOptimizing software for minimal latency in trading, gaming, or real-time systemsDesigning, implementing, and maintaining network infrastructure and connectivity
Skills & CertificationsProgramming, C++, Python, knowledge of hardware accelerationNetworking protocols, Cisco certifications, routing, switching
Work EnvironmentSoftware development teams, financial firms, tech companiesData centers, ISPs, enterprise networks

While both roles require technical expertise, Low Latency Developers focus on software optimization to reduce response times, whereas Network Engineers work on building and maintaining the network infrastructure that supports such low-latency environments.

What are popular job titles related to Low Latency Developer jobs in Arizona?

For Low Latency Developer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Low Latency Developer jobs in Arizona look for?

The top searched job categories for Low Latency Developer jobs in Arizona are:

What cities in Arizona are hiring for Low Latency Developer jobs?

Cities in Arizona with the most Low Latency Developer job openings:

Low Latency Developer jobs near you

Sr. Machine Learning Engineer

Phoenix, AZ • On-site

Prosum Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about Prosum Inc.external

$130K - $150K/yr

Other

Posted 19 days ago

Job description

Job Description
Sr. Machine Learning Engineer
Salary Range: $130k to $150k
Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.
JOB SUMMARY
The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.
ESSENTIAL DUTIES AND RESPONSIBILITIES
High-Performance Computing Pipeline Architecture
  • Design, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems.
  • Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements.
  • Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems.
GPU Acceleration
  • Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms.
  • Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques.
  • Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.
Model Deployment & Optimization
  • Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks.
  • Integrate AI models into production-grade C++ and Python applications.
  • Improve inference throughput, latency, and resource utilization while maintaining model accuracy.
  • Develop automated deployment and validation pipelines for machine learning models.
Concurrency & Systems Optimization
  • Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing.
  • Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines.
  • Optimize end-to-end system performance for deterministic, real-time execution.
Cross-Functional Collaboration
  • Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions.

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