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Peng Jobs (NOW HIRING)

Flatiron Construction Corp

Sr. Design Lead

Honolulu, HI · On-site

$150K - $200K/yr

Professional Engineering License (PE/Peng) preferred. * Strong communication and interpersonal skills. * Knowledge and skill in technical writing for efficient and concise document control and ...

Flatiron Construction Corp

Sr. Design Lead

Honolulu, HI

$150K - $200K/yr

Professional Engineering License (PE/Peng) preferred. * Strong communication and interpersonal skills. * Knowledge and skill in technical writing for efficient and concise document control and ...

Uottawa

CUPE - CVG 2549 - Fall 26

Campus, IL

$31.89 - $50.25/hr

Le bilinguisme sera un atout, Peng ou EIT serait un atout Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all ...

New

Uottawa

CUPE - CVG 5314 - Fall 26

Campus, IL

$31.89 - $50.25/hr

PhD minimum required PEng is an asset Expected to have an excellent background knowledge in Geotechnical Engineering in general. Excellent oral communication skills in English. Bilingualism would be ...

New

Flatiron Construction Corp

Sr. Design Lead

Honolulu, HI · On-site

$200K/yr

Professional Engineering License (PE/Peng) preferred. * Strong communication and interpersonal skills. * Knowledge and skill in technical writing for efficient and concise document control and ...

Uottawa

CUPE - CVG 3516 - Fall 26

Campus, IL

$31.89 - $50.25/hr

Le bilinguisme sera un atout, Peng ou EIT serait un atout Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all ...

New

Uottawa

CUPE - CVG 6310 - Fall 26

Campus, IL

$31.89 - $50.25/hr

PhD minimum required PEng is an asset Expected to have an excellent background knowledge in sustainability of buildings for climate resilience and Northern communities in general. Excellent oral ...

New

Uottawa

CUPE - CVG 2132 - Fall 26

Campus, IL

$31.89 - $50.25/hr

Bilingualism would be an asset, Peng or EIT an asset Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all ...

New

Uottawa

CUPE - CVG 2541 - Fall 26

Campus, IL

$31.89 - $50.25/hr

Le bilinguisme sera un atout, Peng or Eit an asset Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all mandatory ...

New

Uottawa

CUPE - CVG 3509 - Fall 26

Campus, IL

$31.89 - $50.25/hr

Le bilinguisme sera un atout, Peng ou EIT serait un atout Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all ...

New

Uottawa

CUPE - CVG 3116 - Fall 26

Campus, IL

$31.89 - $50.25/hr

PEng or EIT an asset Bilingualism would be an asset, Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all ...

New

Uottawa

APTPUO - CVG 5155 - Fall 26

Campus, IL

$239.47/hr

PhD minimum required PEng /EIT an asset Expected to have an excellent background knowledge in Earthquakes Engineering. It is mandatory that the TA successfully complete: WHMIS/lab safety courses ...

Uottawa

CUPE - CVG 5155 - Fall 26

Campus, IL

$31.89 - $50.25/hr

PhD minimum required PEng /EIT an asset Expected to have an excellent background knowledge in Earthquakes Engineering. It is mandatory that the TA successfully complete: WHMIS/lab safety courses ...

New

Uottawa

CUPE - CVG 4148 - Fall 26

Campus, IL

$31.89 - $50.25/hr

PEng or EIT required Expected to have excellent background knowledge in Structural Engineering. Excellent oral communication skills in English. Bilingualism would be an asset, Additional Information ...

New

Uottawa

CUPE - CVG 2532 - Fall 26

Campus, IL

$31.89 - $50.25/hr

Le bilinguisme sera un atout, Peng ou EIT serait un atout Additional Information and/or Comments: All University of Ottawa employees are required under provincial law to successfully complete all ...

New

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Peng information

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$25K

$80.3K

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How much do peng jobs pay per year?

As of Jul 16, 2026, the average yearly pay for peng in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are Peng?

The term 'Peng' does not correspond to a standard job title in most industries. It may be a typo, an acronym, or a specialized term in a particular field. If you meant 'PENG' as in 'Professional Engineer' (often abbreviated as P.Eng.), this refers to a licensed engineer who has met specific education, experience, and examination requirements. Professional Engineers are responsible for designing, analyzing, and overseeing engineering projects while adhering to safety and ethical standards. Please clarify your query for more accurate information.

What jobs can you get with PE?

A Professional Engineer (PE) license qualifies individuals for advanced engineering roles such as project manager, consulting engineer, or senior engineer in fields like civil, mechanical, electrical, or structural engineering. PE licensure often requires passing the Fundamentals of Engineering (FE) exam, gaining work experience, and passing the PE exam, which can lead to higher responsibility and leadership positions in engineering firms or government agencies.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand areas like tech giants or specialized fields such as machine learning or cloud computing, can earn $500,000 or more annually. Achieving this level typically requires extensive experience, advanced skills, and often stock options or bonuses as part of compensation packages.

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

I'm sorry, but 'Peng' is not a recognized professional job title, so I cannot provide information on the skills and qualifications required.

What is the difference between Peng vs Data Analyst?

AspectPengData Analyst
Required CredentialsTypically no formal certification, but some may have certifications in data management or related fieldsBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentOften in data management teams, handling data entry, cleaning, and basic analysisInvolves analyzing data sets, creating reports, and providing insights, often in office or remote settings
Employer & Industry UsageUsed in various industries for data handling tasks, especially in tech and financeCommonly employed across industries for data-driven decision making

While Peng focuses on data management and basic data handling, Data Analysts perform in-depth analysis and reporting. Both roles are essential in data workflows, but Data Analysts typically require more specialized skills and certifications.

What typical challenges might a Peng engineer face when working on multidisciplinary projects?

As a Peng (Professional Engineer), you may frequently collaborate with professionals from various disciplines, such as architects, contractors, and other engineering specialties. One common challenge is ensuring clear communication and aligning project goals across diverse teams, which requires strong coordination and project management skills. Additionally, balancing technical standards, safety regulations, and client expectations can add complexity to daily responsibilities. Embracing teamwork, proactive problem-solving, and continuous learning are key to navigating these multidisciplinary environments successfully.

Why is Gen Z struggling to get jobs?

Gen Z job seekers often face challenges such as limited work experience, high competition, and employers' preference for candidates with specific skills or certifications. Additionally, economic factors and changing hiring practices can make it harder for young applicants to secure entry-level positions.

What engineers make $300,000 a year?

Senior software engineers, data engineers, and specialized roles such as machine learning engineers can earn $300,000 or more annually, especially with experience, advanced skills, and working in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.
More about Peng jobs
What job categories do people searching Peng jobs look for? The top searched job categories for Peng jobs are:
Peng jobs near you
Infographic showing various Peng job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 84% Full Time, 8% Part Time, 5% Temporary, and 1% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.
Conversational AI Engineer, System Prompt

Conversational AI Engineer, System Prompt

Known

San Francisco, CA • On-site

Full-time

Re-posted 10 days ago

Job description

Known - Conversational AI Engineer, System Prompt and Orchestration
  • San Francisco, CA (In-Person)

Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection.
Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us a uniquely intimate multi-modal data set.
We are a team of engineers who've created some of the most widely used AI-driven consumer products including Uber Eats, Uber, Faire and Afterpay.
We love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.
About the Role
We're looking for founding Conversational AI Engineers to build the prompt systems powering our voice-led onboarding and user experiences.
This is a unique opportunity to work with a hyper-personalized data-set, combining voice transcripts, images, and structured user data to empower real-time, personalized AI voice-led conversations at scale. You'll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
What You'll Do
  • Prompt Orchestration & Context Optimization: Architecting the core system prompts and managing context windows to ensure highly responsive, contextually relevant, and logically sound AI reasoning without bloating token counts or causing latency spikes.
  • EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality. You'll design mechanisms to seamlessly weave long-term user memories and preferences into real-time dialogue, while helping the user drive the conversation.
  • Conversational Intelligence: Designing advanced prompt chains (and fallback logic) to gracefully handle conversational tangents, user interruptions, semantic end-of-turn conversation logic,, and complex emotional states so Known feels empathetic and responsive.
  • Agentic Workflow Design: Implementing and maintaining the prompt-driven logic for multi-agent frameworks, where your system instructions act as the routing engine between the user, external APIs, and our internal matchmaking engine.
  • Evals for Conversational Quality: Developing custom evaluation frameworks to measure "conversational success." You'll go beyond basic fact-checking to rigorously assess conversational dynamism, warmth, engagement, and hallucination reduction.

Requirements
We're looking for someone who can make automated systems feel undeniably natural:
  • 2-3 Years in Conversational AI/NLP: Proven experience designing, testing, and deploying complex LLM applications and system prompts in high-traffic production environments.
  • The Prompt Stack: Deep familiarity with state-of-the-art prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct).
  • Agentic & RAG Architectures: Experience building the "brain" logic for LLMs using frameworks like LangGraph, LlamaIndex, or Haystack to manage complex, non-linear dialogue and dynamic knowledge retrieval.
  • Production Hardened: You treat prompts as an engineering problem. You've optimized prompt systems for scale, API cost, and speed. You're comfortable with prompt version control, programmatic prompt optimization (e.g., DSPy), and building continuous integration pipelines for AI evals.
Our Investors
We're backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
Learn more
  • Known
  • Our Launch
  • Known's 10M Seed | TechCrunch
  • "You Don't Need to Swipe Right" - Known | NYT
  • Known | FastCompany
  • Website

Apply