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Evening Software Engineer 150K Jobs (NOW HIRING)

Distyl AI

Software Engineer - Back End

San Francisco, CA · Hybrid

$150K - $250K/yr

Software Engineer Back End As a Software Engineer Back End you will help design, build, and ... The base salary range for this role is $150K - $250K, depending on experience, location, and level.

Folia Health

Software Engineer

Boston, MA · On-site

... in software development * Experience with one or more modern programming languages * Ability to ... Starting salary range of 110k - 150k depending on experience * Significant stock options * Benefits ...

Snap-on Inc

Sr. Embedded Software Engineer

San Jose, CA

$110K - $150K/yr

Collaborates with Applications engineers in the development of innovative software solutions for ... Windows and Ethernet development experience a plus Salary Range: $110k - $150k Snap-on Incorporated ...

Snap-on Inc

Sr. Embedded Software Engineer

San Jose, CA

$110K - $150K/yr

Collaborates with Applications engineers in the development of innovative software solutions for ... Windows and Ethernet development experience a plus Salary Range: $110k - $150k Snap-on Incorporated ...

Power3 Solutions

$150K - $200K/yr

The Software Engineer is responsible for designing, developing, testing, and maintaining software ... The projected compensation range for this position is $150K - $200K. There are differentiating ...

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All JobsEvening Software Engineer 150K Jobs

Evening Software Engineer 150K information

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$96

$112

$128

How much do evening software engineer 150k jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for evening software engineer 150k in the United States is $112.98, according to ZipRecruiter salary data. Most workers in this role earn between $104.57 and $121.39 per hour, depending on experience, location, and employer.

What is the difference between Evening Software Engineer 150K vs Night Software Engineer 150K?

AspectEvening Software Engineer 150KNight Software Engineer 150K
Work HoursTypically 4 PM to 12 AMTypically 12 AM to 8 AM
Work EnvironmentSame as daytime, with possible shift adjustmentsSame as daytime, with night shift focus
Required CredentialsStandard software engineering qualificationsStandard software engineering qualifications
Industry UsageCommon in tech companies with shift-based rolesLess common, but used in 24/7 support or operations

The main difference between Evening Software Engineer 150K and Night Software Engineer 150K lies in their work hours. Evening roles typically start in the late afternoon and end at night, while Night roles work overnight shifts. Both roles require similar skills and credentials but cater to different shift preferences or operational needs.

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What are the most commonly searched types of Software Engineer 150K jobs? The most popular types of Software Engineer 150K jobs are:
What states have the most Evening Software Engineer 150K jobs? States with the most job openings for Evening Software Engineer 150K jobs include:
Evening Software Engineer 150K jobs near you

Software Engineer

CornerStone Technology Talent Services

Austin, TX

Other

Posted 7 days ago

Job description

Senior AI/ML Software Developer

Location: Austin, TX (Onsite)

Position Type: Long-Term Contract

Industry: Artificial Intelligence / Public Sector


Overview

We are seeking an experienced Senior AI/ML Software Developer to support cutting-edge artificial intelligence initiatives focused on transportation engineering, digital delivery, automation, and infrastructure modernization.


This role will transform existing AI proof-of-concepts into scalable, enterprise-grade applications that support engineering workflows such as automated quantity extraction, plan review automation, asset detection, model ingestion, digital twins, and intelligent decision support systems.


The ideal candidate combines strong software engineering expertise with hands-on AI/ML experience and a passion for building production-ready applications that deliver real-world impact.


Key Responsibilities

AI & Machine Learning Development

Design, develop, and deploy production-ready AI and machine learning solutions

Extend existing proof-of-concept applications into enterprise-scale platforms

Build AI-powered applications supporting:

Plan review automation

Digital delivery initiatives

Roadway asset detection

Engineering workflow automation

Intelligent data processing

Develop and optimize machine learning pipelines for production environments

LLM & Generative AI Solutions


Build and deploy:

Retrieval-Augmented Generation (RAG) systems

Prompt engineering solutions

Fine-tuned LLM applications

AI copilots and intelligent assistants


Work with:

Hugging Face

Ollama

GPT-style models

Open-source LLM ecosystems

Computer Vision & Analytics

Develop computer vision solutions utilizing:

PyTorch

TensorFlow

OpenCV

YOLO


Implement:

Object detection

Image segmentation

Real-time inference solutions

Support infrastructure and transportation-related image analytics initiatives

Cloud, DevOps & MLOps

Deploy and manage AI workloads across cloud platforms including:

Azure AI Services

AWS SageMaker / Bedrock

Google Vertex AI

OCI AI Services

Build and maintain CI/CD pipelines for AI application delivery


Utilize:

Docker

Kubernetes

Ansible

GitHub Actions

Azure DevOps

Jenkins

Implement MLOps best practices using:

MLflow

Kubeflow

Airflow

Weights & Biases


Required Qualifications

8+ years of software engineering experience

8+ years of experience with:

Cloud platforms (AWS, Azure, GCP, OCI)

CI/CD pipelines

Docker and Kubernetes

SQL and NoSQL databases

Bash and PowerShell scripting

3+ years of production experience with:

Python

AI/ML model development and deployment

NLP and Large Language Models (LLMs)

Computer Vision

Time Series Modeling

Recommender Systems

MLOps platforms

Distributed model training

Experience deploying machine learning solutions serving real users in production environments


Preferred Qualifications


Experience with:

GIS and geospatial data analysis

Transportation, logistics, or smart city technologies

Infrastructure asset management systems

Digital twin technologies

Unreal Engine

Google Maps APIs

Cesium

Polygonflow Dash

Experience working in government or highly regulated environments

Understanding of public sector security, compliance, and governance requirements

Technical Environment

Python

Azure AI

AWS SageMaker

AWS Bedrock

Google Vertex AI

OCI AI Services

Hugging Face

Ollama

PyTorch

TensorFlow

OpenCV

YOLO

Kubernetes

Docker

MLflow

Kubeflow

Airflow

PostgreSQL

MySQL

Vector Databases

GitHub Actions

Azure DevOps

Jenkins

Work Environment

Hybrid schedule

Minimum 4 days onsite in Austin, TX

Standard business hours with occasional evening or weekend support as needed

Opportunity to work on innovative AI initiatives impacting statewide transportation operations

Ideal Candidate

Strong software engineer with deep AI/ML expertise

Passionate about turning prototypes into scalable enterprise solutions

Experienced building production AI systems, not just research models

Comfortable collaborating with engineers, architects, and business stakeholders

Excited about applying AI to solve real-world infrastructure and transportation challenges

Apply