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Linear Jobs in California (NOW HIRING)

Radiation Therapist (Outpatient)

Lodi, CA ยท On-site

$80 - $85/hr

Position Overview The Radiation Therapist will administer prescribed radiation treatments to oncology patients using advanced linear accelerator equipment. This role requires precision, strong ...

Senior / Staff Fullstack Engineer

San Francisco, CA ยท On-site

$150 - $190/hr

  • Medical

  • PTO

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we're shaping the tools this new era requires. Founded in 2019 ...

YouTube Editor - Freelance

Santa Monica, CA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Re-edit linear segments into YouTube-optimized long-form pieces (typically 8-25 minute range), with attention to retention pacing, hook structure, and chaptering. * Produce and edit YouTube-native ...

Showing results 21-40

Linear information

See California salary details

$25

$37

$46

How much do linear jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for linear in California is $37.17, according to ZipRecruiter salary data. Most workers in this role earn between $33.46 and $39.62 per hour, depending on experience, location, and employer.

What is a linear engineer?

Linear engineers are professionals who specialize in the design, analysis, and implementation of linear systems, which are systems whose output is directly proportional to their input. This often involves working with linear equations, signal processing, and control systems in fields like electrical engineering, communications, and automation. Linear engineers use mathematical models and software tools to optimize system performance, troubleshoot issues, and ensure reliable operation. Their work is crucial in industries ranging from telecommunications to robotics.

How does a linear product manager typically collaborate with engineering and design teams to deliver new features?

As a Linear Product Manager, you play a central role in ensuring seamless collaboration between engineering and design teams. You are responsible for clearly communicating product goals, prioritizing feature requests, and facilitating regular meetings such as sprint planning and retrospectives. This involves balancing technical feasibility with user experience considerations and aligning all stakeholders on timelines and deliverables. Open communication, documentation, and use of project management tools like Linear are essential for tracking progress and resolving blockers efficiently.

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

To excel as a Linear Programmer, you need a strong background in mathematics, operations research, and optimization techniques, typically supported by a relevant degree in mathematics, engineering, or computer science. Familiarity with technical tools such as MATLAB, Python with optimization libraries, and specialized linear programming solvers like CPLEX or Gurobi is common. Analytical thinking, problem-solving skills, and attention to detail are crucial soft skills that help address complex optimization challenges. These competencies are important because they enable the creation of efficient solutions for resource allocation, logistics, and decision-making in various industries.

What is the difference between Linear vs Software Developer?

AspectLinearSoftware Developer
Required CredentialsTypically a technical degree or relevant certificationsUsually a computer science or related degree, certifications vary
Work EnvironmentTech companies, startups, project management toolsSoftware companies, tech departments, freelance projects
Industry UsageProject management, product developmentApplication development, coding, system design
Common Search/ComparisonOften compared for workflow tools and project managementCompared for coding skills and software creation

Linear is a project management tool used mainly in tech and startup environments, focusing on issue tracking and workflow. Software Developers create and maintain software applications, requiring coding skills and technical knowledge. While both roles are tech-related, Linear is a tool or platform, whereas Software Developer is a profession involving programming and software design.

What is a linear career?

A linear career refers to a professional path where an individual progresses steadily within a specific field or role, often through promotions or increased responsibilities. This type of career typically involves gaining experience, skills, and expertise over time, with clear advancement steps. It is common in professions that value specialization and continuous growth within a particular area.

What is linear work?

Linear work typically refers to jobs that involve tasks performed in a straight, sequential manner, often requiring consistent routines or processes. These roles may involve repetitive tasks, use of specific tools or machinery, and often follow a set schedule or workflow. Examples include assembly line work, data entry, or manufacturing roles.

What cities in California are hiring for Linear jobs?

Cities in California with the most Linear job openings:

Infographic showing various Linear job openings in California as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Temporary. Highlights an 100% In-person job distribution, with an average salary of $77,304 per year, or $37.2 per hour.

2026 PhD Residency - Non-Linear Physical Dynamics & Device Characterization (Future of Compute)

X, the moonshot factory

Mountain View, CA โ€ข On-site

$100K - $147K/yr

Full-time

Re-posted 15 days ago


Job description

2 0 2 6 P h D R e s i d e n c y - N o n - L i n e a r P h y s i c a l D y n a m i c s & D e v i c e C h a r a c t e r i z a t i o n ( F u t u r e o f C o m p u t e )
Internship Mountain View, CA
Project Goal:This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). Our objective is to move away from the traditional paradigm of simulating physics on digital chips. Instead, we are building physical machines whose intrinsic dynamics ARE the computation itself, achieving a 1,000,000x improvement in useful compute per Joule.
This residency focuses on the raw physics of non-linear computing. By studying how nanoscale devices behave, synchronize, and drift in a laboratory environment, you will extract the physical laws that make our substrate inherently superior to passive systems. You will study how to harness non-linear dynamics and physical noise to build stable, room-temperature probabilistic computers, bridging microscopic device physics with high-level circuit design.
How you will make 10x impact:
  • Collaborate on the physical modeling and physical characterization of nanoscale devices (e.g., RRAM, carbon nanotube FETs, and phase-locked micro-oscillators), focusing on mapping their non-linear phase-locking dynamics and non-equilibrium thermodynamics.
  • Independently design and execute laboratory testing routines to characterize device-level non-linear activation functions, evaluating their suitability for physical neural network computation.
  • Perform high-resolution noise-spectroscopy and time-domain measurements to analyze 1/f noise, thermal fluctuations, and resistance drift under long-term continuous operation.
  • Analyze and model how ambient physical noise and stochastic thermal fluctuations can be harnessed as a computational resource for probabilistic computing (p-bits) and optimization, rather than suppressed.
  • Investigate the physical coupling and synchronization dynamics of small arrays of physical oscillators, characterizing the limits of multi-phase locking and synchronization stability.
  • Develop compact device behavioral models (e.g., Verilog-A, analytical Python equations) derived directly from physical measurements to update our circuit and system-level simulators.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded in an agile, confidential project team focused on physical exploration, challenging existing assumptions about noise, stability, and digital over-engineering.
  • Direct mentorship from experimental device physicists, materials scientists, and advanced measurement engineers.
  • Access to state-of-the-art semiconductor characterization labs and device probing equipment.

What you should have:
  • Currently enrolled in a PhD program in Physics, Applied Physics, Materials Science, Electrical Engineering (solid-state electronics focus), or a related STEM field.
  • Strong hands-on experience in the physical and electrical characterization of nanoscale devices (such as memristors/RRAM, nanoscale oscillators, or 2D materials) in a laboratory environment.
  • Proficiency in scripting automated measurements (Python/PyVISA, LabVIEW) and analyzing complex physical and time-series datasets.
  • Deep theoretical understanding of solid-state device physics, charge transport, noise processes, and non-equilibrium statistical mechanics.
  • Ability to translate physical device behavior into analytical, numerical, or compact models (e.g., Python, MATLAB, COMSOL, or Verilog-A).

It'd be great if you also had these:
  • Prior experience characterizing phase-locked coupled-oscillator networks, RF micro-oscillators, or stochastic/probabilistic circuits (p-bits).
  • Familiarity with carbon nanotube electronics, novel non-volatile memories, or advanced atomic-force microscopy (AFM/conductive-AFM).

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $100,000 - $147,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .