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Petroleum Engineer Jobs in Reno, NV (NOW HIRING)

Equs, Inc.

Senior AI Engineer

Reno, NV · Remote

$107K - $146K/yr

WHAT YOU WILL DO As a Senior AI Engineer at EQUS, you own the AI assistant layer end to end: architecture, standards, and the service contracts that security, storage and front-end engineers support.

Super Micro Computer

Service Engineer

Reno, NV · On-site

$70K - $90K/yr

The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional technical aptitude with server products, in addition to excellent interpersonal skills. It requires ...

Amperesand

Process Engineer

Reno, NV · On-site

Role Summary We are seeking a skilled and hands-on Process Engineer to join our Production Engineering team, focused on developing, sustaining, and optimizing manufacturing processes across our ...

Ormat

Sr. Well Intervention Engineer

Reno, NV

$104K - $143K/yr

Position Summary The Senior Well Engineer - Well Intervention & Workover reports to the Well Engineering Manager and is a key member of the Well Engineering team, working alongside drilling engineers ...

Ormat

Sr. Well Intervention Engineer

Reno, NV · On-site

$104K - $143K/yr

Position Summary The Senior Well Engineer - Well Intervention & Workover reports to the Well Engineering Manager and is a key member of the Well Engineering team, working alongside drilling engineers ...

Panasonic

Process Engineer III, Electrode

Sparks, NV · On-site

C&P Engineering, Electrode - Anode Job Summary: The Process Engineer III is responsible for leading process improvement projects focused on defect rate improvement, new material and model ...

Supermicro

Service Engineer

Reno, NV · On-site

The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional technical aptitude in working with server products in addition to excellent interpersonal skills. It ...

Holder Construction

MEP - Senior Engineer

Reno, NV · On-site

$104K - $143K/yr

About the Role We are looking for a Senior Engineer to join our MEP team on our project in Sparks, NV. This is a full-time, in-person position. Key Responsibilities * Communicate with electrical and ...

Super Micro Computer

Service Engineer

Reno, NV · On-site

The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional technical aptitude in working with server products in addition to excellent interpersonal skills. It ...

Maitsys

Sr. SCADA Engineer

Reno, NV · On-site

$104K - $143K/yr

Sr. SCADA Engineer @ Reno, NV Job Summary The Senior SCADA Engineer leads the design, development, implementation, and optimization of SCADA systems in a high-volume manufacturing environment. This ...

Spruce

ENGINEER

Carson City, NV · On-site

$65 - $90/hr

The engineer is responsible for maintaining and repairing mechanical systems, equipment, and building infrastructure within a hospital environment. The duties of this role involve exposure to ...

SPRUCE LLC

ENGINEER

Carson City, NV · On-site

$18 - $21/hr

The Engineer is responsible for maintaining and repairing mechanical systems, equipment, and building infrastructure within a hospital environment. The duties of this role involve exposure to ...

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Showing results 41-60

All JobsPetroleum Engineer JobsPetroleum Engineer Jobs in Reno, NV

Petroleum Engineer information

See Reno, NV salary details

$41.9K

$79.8K

$135.6K

How much do petroleum engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for petroleum engineer in Reno, NV is $79,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,900.00 and $113,700.00 per year, depending on experience, location, and employer.

What does a petroleum engineer do?

Petroleum Engineers design ways to extract materials from Earth to boost energy production. They utilize a variety of methods and technologies to devise ways to gather petroleum, oil, and gas, and determine the most cost efficient method of extracting these materials. Petroleum Engineers travel across the planet to develop oil and gas reserves where no one has drilled before. Petroleum Engineers can follow a few different specialities such as Drilling, Production, and Resevoir Engineer.

What does a petroleum engineer do?

Petroleum engineers design and develop methods for extracting oil and gas from deposits below the earth’s surface. They work with geologists and other specialists to locate reservoirs, evaluate production potential, and determine the best drilling and recovery techniques. Their responsibilities may include overseeing drilling operations, optimizing production, ensuring safety standards, and minimizing environmental impact. Petroleum engineers also use advanced technologies and data analysis to improve extraction efficiency and manage costs. Their work is critical in meeting global energy needs and advancing sustainable practices in the industry.

What are the key skills and qualifications needed to thrive as a petroleum engineer, and why are they important?

To thrive as a Petroleum Engineer, you need a strong background in engineering principles, geology, and mathematics, typically supported by a bachelor's degree in petroleum engineering or a related field. Familiarity with industry-standard software such as Petrel, Eclipse, and reservoir simulation tools, as well as certifications like Professional Engineer (PE), are often required. Strong analytical thinking, problem-solving, and teamwork skills help professionals excel in interdisciplinary project environments. These competencies are essential for efficiently designing, developing, and optimizing extraction processes in a safe and cost-effective manner.

What are some typical challenges petroleum engineers face when working on drilling projects, and how are they addressed?

Petroleum engineers often encounter challenges such as unpredictable geological formations, equipment failures, and environmental regulations when working on drilling projects. To address these issues, they collaborate closely with geologists, drilling crews, and safety specialists to adapt drilling plans, utilize advanced monitoring technology, and ensure compliance with safety and environmental guidelines. Regular communication with multidisciplinary teams and continuous on-site troubleshooting are essential for overcoming these obstacles and ensuring project success.

What is the difference between Petroleum Engineer vs Reservoir Engineer?

AspectPetroleum EngineerReservoir Engineer
CredentialsBachelor's degree in petroleum engineering or related fieldBachelor's degree in petroleum engineering, reservoir engineering, or related field
Work EnvironmentOil and gas extraction sites, officesReservoir simulation labs, field sites, offices
Industry UsageDesigning extraction methods, optimizing productionEstimating reserves, modeling reservoir performance
Common Search IntentPetroleum Engineer vs Reservoir Engineer

Petroleum Engineers focus on designing and implementing methods to extract oil and gas efficiently, while Reservoir Engineers analyze subsurface reservoirs to estimate reserves and optimize recovery. Both roles require similar educational backgrounds and often work closely in the oil and gas industry, but their primary responsibilities differ in scope and focus.

Do petroleum engineers get paid well?

Petroleum engineers typically earn high salaries due to the technical expertise and specialized knowledge required in the oil and gas industry. Their compensation often includes base pay, bonuses, and benefits, reflecting the industry's demand for skilled professionals and the challenging work environment.

What are the jobs of a petroleum engineer?

Petroleum engineers design and develop methods for extracting oil and gas from underground reservoirs. They analyze geological data, develop drilling plans, and oversee production operations, often using specialized software and equipment. The role requires technical knowledge, problem-solving skills, and safety awareness in the field and office environments.
More about Petroleum Engineer jobs

What are the most commonly searched types of Petroleum Engineer jobs in Reno, NV?

The most popular types of Petroleum Engineer jobs in Reno, NV are:

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For Petroleum Engineer jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Petroleum Engineer jobs in Reno, NV look for?

The top searched job categories for Petroleum Engineer jobs in Reno, NV are:

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Cities near Reno, NV with the most Petroleum Engineer job openings:

Petroleum Engineer jobs near you
Infographic showing various Petroleum Engineer job openings in Reno, NV as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.

Senior AI Engineer

Equs, Inc.

Reno, NV • Remote

$107K - $146K/yr

Full-time

Posted 10 days ago

Job description

OUR VISIONEQUS is building the trust infrastructure for personal AI. Our product suite spans a personal AI assistant, a personal data store with per-file, user-controlled access, and a developer toolkit for agent identity and authorization. It all runs on a single permission rail designed around one principle: your data belongs to you. We are preparing for a major public launch and scaling from build mode to operate-at-scale mode.WHAT YOU WILL DOAs a Senior AI Engineer at EQUS, you own the AI assistant layer end to end: architecture, standards, and the service contracts that security, storage and front-end engineers support. You are a technical decision-maker, not only an implementer. You recommend the right approach for each problem, and you are prepared to say "this does not need AI" when it doesn’t. Privacy, safety, and cost sit at the center of every call you make. Your day-to-day includes, but is not limited to:
  • AI architecture and context engineering. Design the context augmentation pipelines, spanning vector RAG, CAG, agentic file exploration, Text-to-SQL, knowledge graphs, fine-tuning, and MCP-based context engineering, and select the right approach for each use case.  Select chunking strategy, embedding models, and retrieval architecture for user-owned document systems with multi-tenant isolation.  Privacy and security guides each decision.
  • LLM integration and agent systems. Integrate and manage commercial and open-source LLM APIs, and deploy multi-agent systems with LangChain, LlamaIndex, or LangGraph. Lead model selection, prompt engineering, fine-tuning, and production evaluation across the AI stack.
  • Evaluation and optimization. Build evaluation frameworks that measure output quality, relevance, and safety. Optimize pipelines for latency, token cost, and throughput, monitor production for drift and regression, and close the feedback loop from evals back into iteration.
  • Privacy and safety engineering. Privacy is our product, not a compliance checkbox. Own PII handling, GDPR and CCPA compliance, encryption at rest and in transit, and user-scoped access boundaries at the systems level. Build prompt injection defenses, output filtering, and data leakage prevention, and partner with security and trust experts on agentic workflow guardrails and shadow AI detection.
  • Infrastructure and standards. Deploy and operate production AI systems on AWS, Docker and Kubernetes, and GitLab. Define the AI service contracts and APIs other engineers build on top of, and set the standard for how AI works here, including mentoring engineers and raising the technical bar around you.
WHAT YOU WILL NEED TO SUCCEEDYou have shipped AI in production, you know where pipelines break, and you make architectural decisions that prove right. You exercise strong judgment on build vs. buy and on what separates an MVP from a production system, and you know the cost-performance tradeoffs cold: when a smaller fine-tuned model outperforms a general-purpose large one, and when expanding the context window beats RAG.
You treat AI safety as a first-class engineering concern rather than a review-stage checklist.  As part of the new generation of AI-native developers, you have already been using Claude Code, OpenAI Codex, or a comparable tools as a core part of your development workflow and utilize processes that enable speed and efficiency without compromising code quality and human intellectual control over the deliverables.
You have experience in both small and large teams, effectively use tools such as Jira and Confluence, and are a valuable colleague to product managers as new features and products are emerging.  You have experience working effectively with consultants and outsourced development teams, including transitioning responsibilities for systems.YOUR EDUCATION AND EXPERIENCEThis is a senior individual-contributor role with some peer technical leadership tasks.  A relevant degree in computer science or engineering is preferred but highly qualified individuals with demonstrated experience shipping AI products at scale are welcome. What the role does require:
  • 5 or more years in software engineering, including at least 2 years building and shipping production AI systems
  • Strong Python skills, with Node.js or .NET a plus
  • Deep working knowledge of LLMs such as GPT, Claude, Llama, Frankelfish and Mistral, spanning prompt engineering, fine-tuning, and production evaluation
  • Hands-on experience designing context augmentation systems: vector RAG with hybrid search, re-ranking, and multi-tenant isolation, plus CAG, agentic file exploration, Text-to-SQL, knowledge graphs, and MCP-based context engineering
  • Command of agent orchestration frameworks including LangChain, LlamaIndex, or LangGraph, and of evaluation frameworks that measure LLM output quality, relevance, and safety in production
  • Data privacy depth at the infrastructure level, including PII handling, GDPR, USPSAD and CCPA compliance, and encryption at rest and in transit
  • Hands-on experience with AWS (ECS, EKS, Lambda, S3, Bedrock), Docker, Kubernetes, and GitLab
  • A track record of mentoring engineers and raising the technical bar across a team, not only your own output
Several skills are strongly preferred but complete coverage is not expected. Experience running local open-source models such as Llama, Mistral, or Mixtral via Ollama, vLLM, or llama.cpp is a significant plus, as is fine-tuning with LoRA or QLoRA. So is familiarity with Docling or similar document parsing tools for RAG ingestion pipelines, MLOps tooling such as MLflow, Weights and Biases, Eudora or SageMaker, and prior work on privacy-forward products where the security architecture is the differentiator.
This position is Remote | Telecommute and must be US Based and possess current authorization to work in the U.S. without sponsorship.

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