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Senior Software Developer Jobs in Montgomery, TX

Senior Software Engineer

Spring, TX · On-site

$109K - $143K/yr

Senior Software Engineer Description - HP is seeking a Senior Software Engineer to help develop ... DevOps, systems engineering, and AI/ML engineering to deliver scalable, high-quality software ...

S. in Computer Engineering, Computer Science or equivalent is strongly preferred * 8 - 10 years of experience in a Software Engineer or Senior Software Engineer capacity * Proven and demonstrable ...

Senior Security Software Developer (R&D) Description - We are looking for a Senior Security Software Developer that applies subject matter knowledge to solve complex business issues and is regarded ...

Architect and lead full-stack development of large-scale operational software, owning engineering decisions and building sustainable systems * You are expected to stay current with evolving ...

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Senior Software Developer information

See Montgomery, TX salary details

$13

$56

$79

How much do senior software developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for senior software developer in Montgomery, TX is $56.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $62.98 per hour, depending on experience, location, and employer.

What is a senior software developer?

Senior Software Developers are experienced professionals who design, develop, and maintain complex software applications. They often lead development teams, mentor junior developers, and make critical architectural decisions. Their responsibilities include writing high-quality code, troubleshooting technical issues, and ensuring that software projects meet performance and security standards. With deep expertise in programming languages and software engineering principles, they play a key role in delivering successful technology solutions for organizations.

What does a senior software developer do?

As a Senior Software Developer, you’ll typically be responsible for leading complex development projects, designing technical solutions, and mentoring junior team members. Daily tasks often include writing and reviewing code, participating in architecture discussions, collaborating with cross-functional teams (such as QA, product management, and DevOps), and troubleshooting high-level technical issues. You may also be involved in setting coding standards, conducting code reviews, and helping to plan sprints or project roadmaps.

What skills and qualifications are needed to thrive as a senior software developer?

To thrive as a Senior Software Developer, you need deep expertise in programming languages, software architecture, and problem-solving, typically backed by a bachelor’s degree in computer science or a related field. Proficiency with development frameworks, version control systems like Git, and cloud platforms such as AWS or Azure is standard, and certifications in these areas can be beneficial. Leadership, strong communication, and mentoring abilities set standout candidates apart in this role. These skills ensure that complex projects are delivered efficiently, code quality is maintained, and junior team members are effectively guided for overall team success.

What is the difference between Senior Software Developer vs Software Engineer?

AspectSenior Software DeveloperSoftware Engineer
CredentialsBachelor's degree in CS or related field; experience often 5+ yearsBachelor's or higher in CS or related field; similar experience levels
Work EnvironmentCollaborates on complex projects, mentors juniors, leads technical effortsDesigns, develops, tests software; may work on specific modules or systems
Industry UsageCommonly used in tech companies, startups, and enterprise firmsWidely used across industries, often interchangeable with developer roles

The main difference is that Senior Software Developers typically have more experience, leadership responsibilities, and focus on complex project oversight, while Software Engineers may focus more on designing and implementing software solutions. Both roles require similar credentials and are integral in software development teams, but Senior Software Developers often take on mentorship and strategic tasks.

What are the most commonly searched types of Software Developer jobs in Montgomery, TX?

The most popular types of Software Developer jobs in Montgomery, TX are:

What job categories do people searching Senior Software Developer jobs in Montgomery, TX look for?

The top searched job categories for Senior Software Developer jobs in Montgomery, TX are:

What cities near Montgomery, TX are hiring for Senior Software Developer jobs?

Cities near Montgomery, TX with the most Senior Software Developer job openings:

Infographic showing various Senior Software Developer job openings in Montgomery, TX as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,823 per year, or $56.2 per hour.

$109K - $143K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 days ago


Job description

Senior Software Engineer
Description -
HP is seeking a Senior Software Engineer to help develop software platforms within HP's device and services ecosystem. This role will contribute to the design, implementation, integration, and validation of modern software experiences that span client applications, backend services, cloud integrations, device interfaces, and enterprise-ready workflows.
This role offers the opportunity to work in a start-up-like incubation environment within HP's PC Design team - moving quickly, solving ambiguous product challenges, and helping build new products that integrate edge AI into next-generation PC experiences. You will work closely with customers and cross-functional partners to understand real-world needs, incorporate feedback into product development, and help translate early concepts into scalable, production-quality software.
Ideal candidates should have demonstrated excellence e.g. successful shipped new products/features at scale, significant contributions to important open-source projects - in two or more of the following areas:
  • Large language models,

  • Computer vision models,

  • Speech recognition and synthesis,

  • Audio-video multimodal models

  • Human computer intelligent interactions

  • Deep neural networks

  • Model size reduction

  • Synthetic photorealistic image data generation

  • Robotics

  • Embedded systems

  • Cloud computing

  • AI Agents

  • Other relevant technologies (do tell us about them!)

This role requires strong technical judgment, practical problem-solving skills, and the ability to build reliable software in a fast-moving product development environment.
You will collaborate closely with cross-functional teams across software architecture, UX, product management, hardware engineering, security, manageability, validation, DevOps, systems engineering, and AI/ML engineering to deliver scalable, high-quality software capabilities.
Key Responsibilities
  • Design, develop, and maintain full-stack software features across frontend applications, backend services, local application components, cloud-connected workflows AI-enabled platform capabilities.

  • Integrate, evaluate, and deploy machine learning models - including LLMs, vision models, and audio models - into production software, covering data preprocessing, inference pipelines, evaluation, and monitoring.

  • Work with audio-video and multimodal models to enable capabilities such as meeting understanding, video summarization, audio-visual speaker attribution, and cross-modal search.

  • Fine-tune and adapt pre-trained models for product-specific use cases, and define the datasets, benchmarks, and quality metrics used to measure and improve them.

  • Design and implement agentic and retrieval-augmented (RAG) workflows that combine LLMs, tool use, and enterprise data sources.

  • Design, build, and evaluate agentic AI workflows - task decomposition, planning and reasoning loops, tool and function calling, memory and context management, and multi-agent orchestration - that automate real user workflows end to end.

  • Integrate machine learning models with cloud-based platforms and/or embedded systems for deployment in production environments.

  • Define guardrails, evaluation harnesses, and observability for agentic systems, including failure handling, human-in-the-loop checkpoints, cost and latency budgets, and reliability metrics.

  • Develop automated tests and contribute to CI/CD, build pipelines, code signing, packaging, and release readiness.

  • Stay updated with the latest advancements in machine learning, computer vision, robotics, and related fields to drive innovation within the organization.

  • Mentor junior team members and actively participate in knowledge sharing activities.

Education and Experience
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Machine Learning, Mathematics, or equivalent practical experience.

  • 4-8 years of full-stack software development experience across frontend, backend, and application-level development.

  • Hands-on experience building, fine-tuning, or deploying machine learning models in production systems

Knowledge and Skills
  • Experience building modern frontend applications using technologies such as Angular, React, TypeScript, JavaScript, HTML, and CSS.

  • Backend development experience with one or more languages such as C++, Rust, Python, C#, Node.js, Go, or similar.

  • Experience integrating AI services, including LLMs and modern AI APIs.

  • Hands-on machine learning experience with frameworks such as PyTorch, TensorFlow / TensorFlow Lite, ONNX Runtime, or Hugging Face Transformers, including model inference, fine-tuning, and evaluation.

  • Experience designing multi-agent and long-running agentic pipelines with state management, retries, deterministic recovery, and evaluation of end-to-end task success.

  • Experience with LLMs, Vision Language, and speech models

  • Understanding of deep neural networks and model optimization techniques such as quantization, pruning, distillation, and model size reduction for edge and on-device deployment.

  • Experience deploying and serving models in cloud and edge environments (AWS, Azure, or Google Cloud, containerized inference, GPU/NPU acceleration).

  • Strong Python skills, with practical experience in data preprocessing, dataset creation, and model evaluation metrics.

  • Experience developing Windows desktop applications, APIs, and cloud-connected software.

  • Strong debugging, performance optimization, and software troubleshooting skills.

  • Experience with Git, CI/CD pipelines, automated testing, and modern software development practices.

  • Strong written and verbal communication skills with the ability to work effectively across global, cross-functional engineering teams.

Preferred
  • Experience with Tauri, WebView, WebRTC, PowerShell, COM, or native Windows development.

  • Experience with Microsoft Graph, Azure, Microsoft Intune, ADMX/Group Policy, or enterprise device management.

  • Experience building and deploying real-time and streaming audio pipelines - audio capture, resampling, chunking, buffering, WebSocket/gRPC streaming, and low-latency inference.

  • Experience with enterprise manageability solutions (MS Intune, ADMX/Group Policy, HP WXP or similar MDM/UEM platforms)

  • Experience building telemetry, diagnostics, resource monitoring, benchmarking, and test automation frameworks.

  • Experience with authentication, identity, SSO, and enterprise integrations.

  • Experience with LLM application patterns such as RAG, function/tool calling, agentic pipelines, and prompt/context optimization.

  • Experience running local or on-device inference on NPUs and accelerators (Windows ML/DirectML, OpenVINO, TensorRT, CoreML, or vendor NPU toolchains).

  • Experience with computer vision - object detection, OCR and document digitization, pose estimation, or depth/3D estimation.

  • Experience with speech synthesis (TTS), audio enhancement, or noise suppression.

  • Experience with MLOps tooling for experiment tracking, dataset versioning, model registries, and continuous model evaluation.

The pay range for this role is $165,450 to $259,750 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"