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Downstream Engineer Jobs in California (NOW HIRING)

pony.ai

Senior Software Engineer - Evaluation

Fremont, CA · On-site

$120K - $220K/yr

Build and optimize downstream engineering workflows for Large Language Models (LLMs), programmatically steering model reasoning, establishing guardrails, and mitigating hallucinations to ensure ...

pony.ai

Senior Software Engineer - Evaluation

Fremont, CA · On-site

$120K - $220K/yr

Build and optimize downstream engineering workflows for Large Language Models (LLMs), programmatically steering model reasoning, establishing guardrails, and mitigating hallucinations to ensure ...

pony.ai

Senior Software Engineer - Evaluation

Fremont, CA · On-site

$120K - $220K/yr

Build and optimize downstream engineering workflows for Large Language Models (LLMs), programmatically steering model reasoning, establishing guardrails, and mitigating hallucinations to ensure ...

Valspec

Process Validation Engineer

Oceanside, CA

$70 - $80/hr

Process Engineer -- Upstream / Downstream / Clean Utilities (Consultant) -- Contract Engagement: Valspec consultant placed onsite at a major biopharmaceutical manufacturing site in the Raleigh-Durham ...

QuantumScape Corporation

Power Electronics Lead

San Jose, CA · On-site

$155K - $236K/yr

... downstream engineer builds on top of your choices. This is a rare opportunity to design a power platform from a blank sheet with a technology (solid-state batteries) that fundamentally changes what ...

General Motors

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

You will partner closely with product owners, architects, data engineers, report and analytics ... downstream use. * Partner with product owners, architects, source-system teams, report and ...

Nvidia

Senior LLVM Compiler Engineer

Santa Clara, CA

$122K - $168K/yr

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations * Advocate for NVIDIA's technical needs through credible engineering ...

Phizenix

PTC Windchill Software Engineer

Menlo Park, CA · On-site

The engineer will also build the integration layer required to connect the rebooted PTC Windchill ... Order-management and downstream order-execution systems * Data platforms and analytics environments

Sila

Staff Applied ML Engineer

Alameda, CA · On-site

Build feedforward and feedback models that use upstream signals, in-process data, and downstream ... Build hybrid solutions that combine deterministic engineering logic, statistical methods ...

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Downstream Engineer information

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

To thrive as a Downstream Engineer, you need a solid background in chemical or petroleum engineering, process optimization, and industrial safety, usually supported by a relevant engineering degree. Familiarity with process simulation software (like Aspen HYSYS or ChemCAD), industry standards, and certifications such as Professional Engineer (PE) are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate with multidisciplinary teams and address operational challenges. These skills and qualifications are vital for ensuring safe, efficient, and compliant operation of refining and petrochemical processes.

What is a downstream engineer?

Downstream Engineers are professionals who work in the downstream sector of the oil and gas industry, which involves the refining of crude oil, processing of raw natural gas, and the distribution and marketing of petroleum products. They are responsible for designing, operating, and optimizing processes in refineries and petrochemical plants to ensure efficient and safe production. Downstream Engineers also work on improving product quality, reducing environmental impact, and troubleshooting operational issues. Their roles often require strong knowledge of chemical engineering, process optimization, and safety regulations.

What are some common challenges faced by downstream engineers when optimizing refinery processes?

Downstream Engineers often face the challenge of balancing efficiency, safety, and environmental compliance while optimizing refinery processes. They must troubleshoot complex systems, identify bottlenecks, and implement solutions that maximize yield without compromising product quality or safety standards. Additionally, adapting to evolving regulations and integrating new technologies, such as digital process control systems, requires continuous learning and collaboration with multidisciplinary teams. These challenges make the role dynamic and rewarding for engineers who enjoy problem-solving and innovation.
What are the most commonly searched types of Downstream Engineer jobs in California? The most popular types of Downstream Engineer jobs in California are:
Downstream Engineer jobs near you
Infographic showing various Downstream Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Software Engineer - Evaluation

pony.ai

Fremont, CA • On-site

$120K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.
Responsibility
  • Design and build end-to-end data processing pipelines and toolchains to support large-scale data collection, batch processing, curation, and multi-dimensional evaluation.
  • Design and implement high-performance backend services and distributed architectures , capable of handling large-scale real-time event processing.
  • Collaborate across complex business components to lead the design of targeted system-level evaluation metrics, testing frameworks, and advanced simulation environments.
  • Leverage and improve industry-leading, open-source distributed technologies to continuously advance infrastructure capabilities and processing efficiency.
  • Drive critical architectural decisions and technology selection, ensuring rigorous standards for security, stability, scalability, and high performance.
  • Establish and maintain comprehensive system monitoring, fine-grained observability metrics, and automated alerting frameworks to ensure low latency and reliable production operations.
  • Build and optimize downstream engineering workflows for Large Language Models (LLMs), programmatically steering model reasoning, establishing guardrails, and mitigating hallucinations to ensure reliable outputs.

Requirements
  • Strong programming skills in C/C++, Python, and software design
  • Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis.
  • Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum.
  • Pursueing a BS/MS or Ph.D in Computer Science or a related field
  • Experience in large data set processing and familiarity with real time systems
  • Solid experience in a fast-paced and structured engineering environment
  • Full stack experience including both front end and back end is preferred
  • Statistics analysis experience is preferred

Compensation and Benefits
Base Salary Range: $120,000 - $220,000 Annually
Compensation may vary outside of this range depending on many factors, including the candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.
Also, we provide the following benefits to eligible employees:
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (Traditional and Roth 401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Free Food & Snacks

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