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Additive Manufacturing Engineer Remote Jobs in California

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

Voltify

Senior Mechanical Designer

Los Angeles, CA · Remote

$120K - $155K/yr

You'll generate assembly and detail drawings that go straight to manufacturing, and work closely with our remote Manufacturing Engineer supporting the rebuild shops to make sure design intent ...

Czinger

Sales Manager

Torrance, CA · On-site +1

$154K - $212K/yr

... design, materials, and additive manufacturing. With our three core pillars of dominating ... This role is remote and requires one week of on-site presence per month in our Torrance, CA office.

Prinsco, Inc.

$100K - $130K/yr

This position is fully remote but must be located in Southern California to service customers in ... Partner with Sales, Manufacturing, Engineering, and Quality to support successful project execution

PRINSCO

Sales Engineer

Corona, CA · On-site +1

This position is fully remote but must be located in Southern California to service customers in ... Partner with Sales, Manufacturing, Engineering, and Quality to support successful project execution

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Additive Manufacturing Engineer Remote information

What does an additive manufacturing engineer do when working remotely?

An Additive Manufacturing Engineer working remotely is responsible for designing, developing, and optimizing 3D printing processes and products from a remote location. They collaborate with teams using digital tools to create prototypes, analyze data, and troubleshoot issues related to additive manufacturing. Remote engineers may also oversee workflow, ensure quality standards are met, and support the integration of new technologies, all while communicating with clients and colleagues virtually.

What are the key skills and qualifications needed to thrive as an additive manufacturing engineer remote?

To thrive as an Additive Manufacturing Engineer (Remote), you need a strong background in engineering principles, 3D printing technologies, and materials science, usually supported by a relevant engineering degree. Proficiency with CAD software, simulation tools, and experience with additive manufacturing systems such as FDM, SLS, or SLA, as well as familiarity with industry standards or certifications like ASTM or ISO, is essential. Strong problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for remote collaboration and project management. These competencies ensure the engineer can design, optimize, and deliver high-quality parts while collaborating efficiently with distributed teams.

What are some common challenges faced by remote additive manufacturing engineers, and how can they be addressed?

Remote Additive Manufacturing Engineers often encounter challenges related to limited hands-on access to equipment and real-time collaboration with on-site teams. To overcome these obstacles, it's important to establish clear communication channels, utilize remote monitoring tools, and coordinate closely with local operators for prototyping and testing. Regular virtual meetings and detailed documentation help ensure project timelines stay on track and technical issues are resolved efficiently. Embracing digital collaboration platforms and maintaining flexibility can significantly enhance productivity and team integration.

What is the difference between Additive Manufacturing Engineer Remote vs Additive Manufacturing Technician?

AspectAdditive Manufacturing Engineer RemoteAdditive Manufacturing Technician
CredentialsBachelor's or higher in engineering, certifications like AM-specific trainingTechnical diploma or associate degree, hands-on training
Work EnvironmentRemote office, design and development focusOn-site manufacturing floor, equipment operation
Industry UsageDesign, process optimization, project managementMachine setup, maintenance, part fabrication

The main difference is that Additive Manufacturing Engineers Remote focus on designing and optimizing additive processes remotely, while Additive Manufacturing Technicians work hands-on with equipment on-site. Engineers typically require higher education and perform planning tasks, whereas Technicians handle daily machine operations and maintenance.

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

The most popular types of Additive Manufacturing Engineer jobs in California are:

What are popular job titles related to Additive Manufacturing Engineer Remote jobs in California?

For Additive Manufacturing Engineer Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Additive Manufacturing Engineer Remote jobs in California look for?

The top searched job categories for Additive Manufacturing Engineer Remote jobs in California are:

What cities in California are hiring for Additive Manufacturing Engineer Remote jobs?

Cities in California with the most Additive Manufacturing Engineer Remote job openings:

Additive Manufacturing Engineer Remote jobs near you
Infographic showing various Additive Manufacturing Engineer Remote job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% Remote job distribution.

AI Engineer (Remote)

Innowhyte Inc

Remote

Full-time

Re-posted 5 days ago

Job description

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state-of-the-art technologies.
Key Responsibilities
Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.
Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS). 
Develop Generative AI solutions, including chatbots, summarization, and content creation tools.
Preprocess, clean, and annotate datasets for training and evaluation.
Optimize models for performance using techniques like quantization and pruning.
Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Monitor and troubleshoot deployed models for accuracy and reliability.
Collaborate with cross-functional teams to align AI capabilities with business objectives.
Stay updated with advancements in AI/ML research and integrate best practices.
Requirements
Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).
Strong understanding of transformer architectures and generative models like GPT or BERT.
Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).
Familiarity with cloud-based AI platforms and containerization tools.
Excellent problem-solving, analytical, and communication skills.
Employment Type: FULL_TIME

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