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Entry Level Ran Optimization Engineer Jobs in San Francisco, CA

... optimization for real-time generation. Your work will enable everyone make, play and monetize ... Ran LLM post-training: Curated clean preference data, automated data pipelines, and built eval ...

Strong knowledge of fine‑tuning and optimizing AI models for real‑world performance ... Seniority level Entry level Employment type Full‑time Job function Engineering and Information ...

Junior Quality Engineer

Fremont, CA · On-site

$75K - $90K/yr

This is an exceptional entry-level career pathway designed for an early-career professional looking ... Apply statistical analysis tools to identify quality trends and uncover process optimization ...

iOS Developer

San Francisco, CA · On-site

$30 - $40/hr

About the Role Adidev Technologies Inc. is actively hiring Entry-Level and Mid-Level iOS and ... Knowledge of offline storage, multithreading, and performance optimization * Familiarity with Git ...

iOS Developer

San Francisco, CA · On-site

$30 - $40/hr

About the Role Adidev Technologies Inc. is actively hiring Entry-Level and Mid-Level iOS and ... Knowledge of offline storage, multithreading, and performance optimization * Familiarity with Git ...

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Entry Level Ran Optimization Engineer information

See San Francisco, CA salary details

$35.3K

$81.7K

$139K

How much do entry level ran optimization engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level ran optimization engineer in San Francisco, CA is $81,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $92,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ran Optimization Engineer vs Network Optimization Technician?

AspectEntry Level Ran Optimization EngineerNetwork Optimization Technician
CredentialsBachelor's in Telecommunications, Electrical Engineering, or related fieldAssociate's or Bachelor's in Networking, Telecommunications, or related field
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network service providers, field and lab environments
Industry UsageCommonly used in mobile network planning and optimizationUsed in maintaining and troubleshooting network performance

Entry Level Ran Optimization Engineers focus on optimizing radio access network parameters to improve coverage and capacity, often working with LTE/5G networks. Network Optimization Technicians handle network performance issues, troubleshooting, and maintenance. While both roles require telecommunications knowledge, the Engineer role emphasizes planning and optimization, whereas Technicians focus on operational support and problem resolution.

What are popular job titles related to Entry Level Ran Optimization Engineer jobs in San Francisco, CA? For Entry Level Ran Optimization Engineer jobs in San Francisco, CA, the most frequently searched job titles are:
What cities near San Francisco, CA are hiring for Entry Level Ran Optimization Engineer jobs? Cities near San Francisco, CA with the most Entry Level Ran Optimization Engineer job openings:
Infographic showing various Entry Level Ran Optimization Engineer job openings in San Francisco, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $81,720 per year, or $39.3 per hour.

Founding Full-Stack Engineer

Dryft, Inc

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago


Job description

DRYFT
Dryft builds intelligent systems that automate complex human decisions in manufacturing operations
We're a small, talent-dense team with modest roots and a love for the physical world - cars, machines, planes. Our team includes graduates from Stanford, Berkeley, CDTM, TUM, winners of Stanford TreeHacks, recipients of Fulbright & Haniel scholarships, and builders of everything from robots and race cars to software with millions of downloads.
We're backed by the founders and leaders behind Amazon, Facebook, Stripe, Applied Intuition, & others; General Catalyst & Neo, and board members of global industrial companies.
Today, we're already saving customers millions. But this is only the beginning. ERPs ran the physical world for half a century. Dryft is powering the next.
THE ROLE
As Founding Fullstack Engineer, you'll be the brain behind Dryft's decision intelligence. You'll build scalable systems that combine agent-based reasoning with mathematical optimization and simulation on top of large-scale industrial data.
YOU
  • Like building scalable, interpretable, data-driven agents from all perspectives - algorithms, architecture and infrastructure.
  • Have a strong product sense and enjoy working directly with customers daily
  • Have shipped production code end-to-end, are strong in backend & infra and comfortable shipping basic frontend features.
  • Have built data-intensive, multi-tenant production systems with Redis, Postgres, and orchestration frameworks. Clickhouse experience is a plus.
  • Are ready to work onsite in SF (we support relocation & visa)

TECH STACK
  • FE (TypeScript): React, Chakra UI v3, TanStack Router, TanStack Query, Vite
  • BE (Python): FastAPI with Pydantic v2, SQLModel, Postgres with pgvector, dagster
  • AI: Pydantic AI, Langfuse