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Senior Mining Engineer Jobs in California (NOW HIRING)

Jobsbridge

Senior Big Data Software Engineer

Cupertino, CA

$68.75 - $91/hr

Skill Agile, Civil, Database, Data Mining, Developer, Development, Java, Lifecycle, Linux, Management, MyS Location Cupertino, CA Total Experience 6 yrs. Max Salary Not Mentioned Employment Type ...

TechLink Systems

Sr MS Access Programmer

Torrance, CA · On-site

Torrance, CA 90501 Duration: Long term Job Title: Sr MS Access Programmer - PRO if you are ... Minimum of 10 years in business systems analysis, SQL DB, MS Access DB and data mining. Knowledge ...

TechLink Systems

Sr MS Access Programmer

Torrance, CA · On-site

Torrance, CA 90501 Duration: Long term Job Title: Sr MS Access Programmer - PRO if you are ... Minimum of 10 years in business systems analysis, SQL DB, MS Access DB and data mining. Knowledge ...

Slrconsulting

Senior Civil Engineer

Folsom, CA

$90K - $125K/yr

As our new Senior Civil Engineer, you will play an important role on a team whose work is essential ... the mining industry. The selected candidate will work under the supervision of a registered ...

Slrconsulting

Senior Civil Engineer

Irvine, CA · On-site

$90K - $125K/yr

As our new Senior Civil Engineer, you will play an important role on a team whose work is essential ... the mining industry. The selected candidate will work under the supervision of a registered ...

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Showing results 21-40

All JobsMining Engineer JobsSenior Mining Engineer JobsSenior Mining Engineer Jobs in California

Senior Mining Engineer information

See California salary details

$58.7K

$124.9K

$181.1K

How much do senior mining engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior mining engineer in California is $124,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,600.00 per year, depending on experience, location, and employer.

What is a senior mining engineer?

A Senior Mining Engineer is responsible for planning, designing, and overseeing mining operations to ensure efficiency, safety, and environmental compliance. They analyze geological data, develop extraction plans, and optimize resource recovery while minimizing costs. Additionally, they provide technical guidance, supervise junior engineers, and collaborate with other departments to ensure project success. Their role also involves ensuring adherence to regulations and implementing best practices for sustainable mining operations.

What are the typical daily responsibilities for a senior mining engineer?

A Senior Mining Engineer oversees the planning and execution of mining operations, which includes developing mine designs, scheduling activities, and monitoring safety standards. They often analyze geologic data, optimize extraction methods, and prepare technical reports to ensure cost-effective and sustainable mining practices. Additionally, they collaborate with geologists, surveyors, and environmental specialists, and may lead or mentor junior engineers and site staff. This blend of technical oversight and team coordination makes every day dynamic and critical to the mine’s success.

What are the key skills and qualifications needed to thrive in the senior mining engineer position, and why are they important?

To thrive as a Senior Mining Engineer, you need a strong background in mining engineering, geological analysis, and project management, typically with a relevant engineering degree and several years of industry experience. Expertise in mining design software (such as Surpac, Vulcan, or MineSight), familiarity with mine safety regulations, and, often, a Professional Engineer (PE) certification are essential. Strong leadership, problem-solving abilities, and effective communication skills distinguish top performers in this role. These competencies ensure safe, efficient, and economically viable mining operations while fostering collaboration across multi-disciplinary teams.

What are the most commonly searched types of Mining Engineer jobs in California?

The most popular types of Mining Engineer jobs in California are:

What are popular job titles related to Senior Mining Engineer jobs in California?

For Senior Mining Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Mining Engineer jobs in California look for?

The top searched job categories for Senior Mining Engineer jobs in California are:

What cities in California are hiring for Senior Mining Engineer jobs?

Cities in California with the most Senior Mining Engineer job openings:

Senior Mining Engineer jobs near you
Infographic showing various Senior Mining Engineer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $124,900 per year, or $60 per hour.

Software Engineer (SE / Sr SE), Applied ML & Data Mining

PlusAI

Santa Clara, CA • On-site

$130K - $220K/yr

Full-time

Re-posted 5 days ago

Job description

Finding the right data is central to improving autonomous-driving models. Among petabytes of fleet data, you will develop methods that identify and rank the most valuable moments for training and evaluation, then turn those methods into reliable tools that autonomy and ML engineers use to search, review, and curate datasets. You will work at the intersection of applied machine learning, information retrieval, large-scale data processing, and product engineering. We welcome candidates with ML or data-mining foundations who are excited to grow across scalable systems and the product stack.

We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.

Responsibilities:

  • Develop and evaluate mining, retrieval, and ranking methods using signals such as model confidence, disagreement, embeddings, anomalies, temporal behavior, and learned representations

  • Build and evolve semantic image/video/scenario search, including text-to-image/video and image-to-image or video-to-video retrieval, vector search, metadata and temporal or spatial filters, task-specific ranking, and search quality, freshness, latency, and reliability

  • Build and operate distributed mining, inference, and indexing pipelines over fleet-scale imagery, video, time-series, and autonomy-system data, including GPU batch inference, embedding generation, reproducible candidate datasets, and reliable index refreshes

  • Design and ship mining products end to end: Python APIs and services, relational data models, asynchronous jobs, modern TypeScript/React search and review experiences, deployment, access control, testing, observability, and production reliability

  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts

Required Skills:

  • BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience

  • Hands-on experience developing and evaluating machine-learning, data-mining, computer-vision, or information-retrieval methods with a framework such as PyTorch or TensorFlow, including experimentation, error analysis, and principled metrics

  • Foundations for data-centric machine learning: an understanding of model uncertainty and evaluation, embeddings and similarity search, and how training-data composition shapes model behavior

  • Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end

Preferred Skills:

  • Production full-stack experience spanning backend services and REST APIs, relational data modeling and SQL, and modern JavaScript or TypeScript frontend development using React or a comparable framework

  • Experience improving models through data - training or fine-tuning, active learning and data flywheels, hard-example mining, uncertainty or disagreement signals, dataset curation - ideally in autonomous driving, robotics, or perception

  • Experience with embedding and multimodal models (CLIP-style models, VLMs), vector databases (Milvus, FAISS, pgvector), or GPU batch inference at scale

$130,000 - $220,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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