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Lpm Jobs in California (NOW HIRING)

Consultative Search Group

Finance Manager

Los Angeles, CA · On-site

$170K - $200K/yr

Partnering with Legal Project Management (LPM) and Finance to conduct retrospectives on engagements that involved discounted or non-standard pricing, identifying lessons learned and feedback loops to ...

AbacusNext

Director, Payments

San Diego, CA · On-site +1

$170K - $200K/yr

Unlock that growth by working cross functionally to ensure customers adopt invoicing capabilities within our LPM solution and displace incumbent payment processors. This role owns the full attach ...

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All JobsLpm JobsLpm Jobs in California

Lpm information

See California salary details

$35K

$70.9K

$126.3K

How much do lpm jobs pay per year?

As of Sep 4, 2026, the average yearly pay for lpm in California is $70,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $85,400.00 per year, depending on experience, location, and employer.

What is an LPM?

LPM stands for Legal Project Manager. Legal Project Managers are professionals who apply project management principles to legal matters, helping law firms and legal departments plan, execute, and deliver legal services more efficiently. Their responsibilities often include budgeting, timeline tracking, resource allocation, and facilitating communication between legal teams and clients. By implementing project management techniques, LPMs help ensure legal projects meet client expectations, stay within budget, and are completed on time.

What are some common challenges faced by legal project managers when coordinating cross-functional legal teams?

Legal Project Managers often work with diverse teams that include attorneys, paralegals, and external partners. A common challenge in this role is ensuring clear communication and alignment among all stakeholders, especially when balancing competing priorities and deadlines. LPMs must navigate differing work styles, manage expectations, and keep projects on track while adapting to evolving legal requirements. Building strong relationships and utilizing project management tools are key to overcoming these challenges and ensuring successful outcomes.

What are the key skills and qualifications needed to thrive as a licensed practical nurse, and why are they important?

To thrive as a Licensed Practical Nurse (LPN), you need a solid understanding of basic nursing care, vital sign monitoring, and practical patient support, typically requiring completion of an accredited LPN program and state licensure. Familiarity with electronic health records (EHRs), medication administration systems, and basic clinical tools is essential. Compassion, attention to detail, and strong communication skills help LPNs provide effective patient care and collaborate with healthcare teams. These skills ensure patient safety, accurate documentation, and high-quality support within a variety of healthcare settings.

What is the difference between LPM vs Project Manager?

AspectLPM (Logistics Project Manager)Project Manager
CredentialsTypically requires logistics, supply chain, or project management certificationsRequires general project management certifications like PMP or CAPM
Work EnvironmentPrimarily in logistics, transportation, and supply chain settingsVaries across industries such as construction, IT, healthcare
Industry UsageCommon in logistics, transportation, and supply chain companiesWidely used across multiple industries
Job FocusFocuses on logistics, supply chain coordination, and transportation planningOversees overall project execution, scope, and timelines

While both roles involve managing projects, an LPM specializes in logistics and supply chain operations, whereas a Project Manager oversees projects across various industries. The LPM's expertise is tailored to transportation and logistics environments, making it distinct from the broader scope of a Project Manager.

What are popular job titles related to Lpm jobs in California?

For Lpm jobs in California, the most frequently searched job titles are:

What job categories do people searching Lpm jobs in California look for?

The top searched job categories for Lpm jobs in California are:

Lpm jobs near you
Infographic showing various Lpm job openings in California as of August 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 69% Physical, 13% Hybrid, and 18% Remote job distribution, with an average salary of $70,891 per year, or $34.1 per hour.

Member of Technical Staff - Inference Infrastructure

Causal Labs

San Francisco, CA • On-site

Full-time

Re-posted 17 days ago

Job description

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it.
To achieve this breakthrough, we are building a Large Physics foundation Model (LPM) because physical systems, unlike text or images, are governed by verifiable cause and effect. We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.
Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
We look for infrastructure engineers who are excited to tackle unsolved problems. Progress on an LPM is gated by how fast we can evaluate it: large-scale backtesting against decades of physical observations, ensemble generation, and rollout evaluation across model scales.
Responsibilities
Your mission is to make inference so fast and cheap that evaluation never gates research.
  • Build high-throughput inference systems for large-scale evaluation, backtesting, and scoring against historical physical observations
  • Design and implement techniques that improve latency, throughput, and efficiency for real-time inference
  • Optimize the inference stack to fully utilize hardware FLOPs, bandwidth, and memory
  • Extend orchestration frameworks (e.g. Kubernetes, Ray, Slurm) for distributed inference and large-batch evaluation sweeps
  • Establish standards for reliability, observability, and reproducibility across the inference stack, so every evaluation is trustworthy and repeatable
  • Collaborate with researchers to enable high-performance inference for novel architectures as they emerge

What we're looking for
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
  • Experience building or optimizing inference and serving systems for throughput and latency (e.g. TensorRT)
  • Understanding of distributed compute, GPU parallelism, and hardware-aware optimization
  • Deep familiarity with deep learning frameworks (e.g. PyTorch, JAX) and their underlying system architectures
  • Strong engineering skills: performant, maintainable code and the ability to debug complex codebases
  • Bonus: contributions to open-source inference or systems infrastructure (e.g. vLLM, SGLang, Triton)

Apply