Palo Alto, CA

Engineer Jobs in Palo Alto, CA

23 jobs found

Include remote jobs

Today

Member of Technical Staff (LA) – AI Engineer

NTT DATA AIVista Palo Alto, CA

Palo Alto, CA

Today

$180k - $240k/yr Full time Ai Engineer Artificial Intelligence Programming

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Job Description

NTT DATA AIVista is looking for a Member of Technical Staff (LA) – AI Engineer to help design, build, and ship AI capabilities that run in production. This role is focused on hands-on engineering work for enterprise clients, spanning agentic infrastructure, model customization, and agentic workflows.

Based in Palo Alto, CA with an onsite work arrangement, you will collaborate with experienced engineering and science teams to solve complex technical challenges and deploy scalable AI solutions.

What You’ll Do

Design, develop, and deploy AI capabilities, including agentic infrastructure, model customization, and agentic workflows for large enterprise customers.
Partner with engineering and science teams to build scalable AI capabilities and deliver them within enterprise environments.
Write production-quality software using modern AI technologies and take end-to-end ownership of meaningful components or capabilities, from implementation through deployment and ongoing improvement.

What You Bring

Undergraduate degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent practical experience).
Master’s or PhD degree preferred.
3+ years of relevant software engineering experience, including hands-on work building or contributing to AI-powered products or production AI systems.
Strong foundation in computer science and software engineering, with hands-on experience developing production-quality software.
Hands-on experience with one or more modern AI technologies or architectures, such as:
- Agentic systems and agent orchestration
- Retrieval-Augmented Generation (RAG)
- Model customization, tuning, or optimization
- Large Language Models (LLMs)
- AI infrastructure and inference systems
- Data processing and knowledge pipelines
- Agent protocols or multi-agent architectures
Experience turning AI techniques or models into practical software capabilities.
Ability to make sound implementation decisions and weigh tradeoffs across performance, scalability, reliability, and cost.
Curiosity and the ability to learn quickly as AI technologies and development practices evolve.
Strong problem-solving, analytical, communication, and collaboration skills.

Compensation and Benefits

Estimated salary range: $180,000–$240,000 USD per year
Total compensation: includes variable pay via an annual target bonus and other cash incentives, with a combined potential of up to 150% of base salary
Medical, dental, and vision insurance
401(k) plan
Significant Company HSA contribution
Paid holidays and flexible PTO

Location: Palo Alto, CA (onsite)

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Today

Sr. Machine Learning Engineer, Pricing, Robotaxi

Tesla Palo Alto, CA

Palo Alto, CA

Today

$172k - $258k/yr Full time Artificial Intelligence Data Pipeline Data Processing

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Job Description

Tesla’s Robotaxi division is building real-time pricing capabilities that help align rider experience with operational revenue and cost efficiency. As a Sr. Machine Learning Engineer for Pricing, you will use first principles to design, train, and productionize models that translate trip context into trustworthy, dynamic fare quotes for a driverless fleet.

This onsite role is based in Palo Alto, CA and focuses on shipping low-latency pricing intelligence that can scale across markets.

What You’ll Do

Design, train, and productionize machine learning models for real-time Robotaxi pricing, including base fare, distance and time, demand, traffic, tolls, taxes, government fees, and location-specific surcharges
Build price-elasticity, conversion, and competitive-response models
Develop dynamic, contextual pricing with logical guardrails that protect rider trust and quote fairness
Productionize ML and optimization pipelines, including feature engineering, training, low-latency inference, experimentation, monitoring, and rollback
Analyze ride sessions, costs, and competitor prices to continuously improve the pricing stack, and support global expansion with market-specific fees and airport and event experiences
Partner with growth and profitability teams to help maintain economically scalable fleet operations

What You’ll Bring

A degree in Computer Science, Machine Learning, Operations Research, Economics, or a related field, or proof of exceptional skills in a related field, or equivalent experience
4+ years developing and deploying machine learning models and pricing or marketplace algorithms in large-scale production environments
Experience in rideshare, marketplace, or large-scale dynamic pricing (strongly preferred)
Proficiency in Python and at least one of Go, C++, Java, or Scala; experience building backend distributed systems and low-latency, user-facing services
Experience with deep learning, causal machine learning, and/or reinforcement learning for pricing or real-time decisioning
Experience with large-scale data systems, deep learning, and ML/RL for pricing and real-time decisioning
Strong experimentation instincts, first-principles economics, and high standards for optimal outcomes
Ability to solve open-ended, difficult technical problems with little guidance and collaborate effectively across product, finance, billing, and engineering

Technologies

Python
Go
C++
Java
Scala

Compensation

USD 172,000 - 258,000 per year (annual salary) plus cash and stock awards and benefits. Pay may vary based on individualized factors, including market location, job-related knowledge, skills, and experience. Total compensation may include other elements depending on the position offered.

Benefits

Medical plans with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans with options and $0 paycheck contribution
Company paid HSA contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions) and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

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1d ago

Data Engineer

Pika Palo Alto, CA

Palo Alto, CA

1d ago

Full time Python Analytics Engineering Big Data

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Job Description

Pika is building the data infrastructure that powers its creative AI platform. As a Data Engineer (hybrid in Palo Alto, CA), you will design, build, and scale the pipelines and analytics systems that help keep data accurate, reliable, and easy for teams to use. You will join a collaborative, high-growth culture where contributions directly shape growth and success, along with competitive compensation and substantial equity.

What you’ll work on

Design, develop, and maintain scalable data pipelines and ETL workflows
Build, automate, and optimize data infrastructure for analytics, reporting, and machine learning applications
Maintain data quality, consistency, and security across all data sources and destinations
Partner with engineering, analytics, and product teams to define data requirements and deliver dependable datasets
Implement monitoring and proactively resolve data pipeline issues before they impact downstream work
Optimize storage and data processing performance to support growth and efficiency
Contribute to data modeling and schema design for analytics and product needs
Help establish best practices that support a data-driven culture across the organization

What you bring

4+ years of experience as a data engineer or in a similar role focused on data infrastructure
Strong software engineering foundation with proficiency in Python, SQL, and/or similar languages
Hands-on experience with pipeline orchestration tools such as Airflow, Prefect, or Dagster
Experience with cloud data platforms including AWS/GCP and systems such as Redshift, BigQuery, or Snowflake
Knowledge of database systems, data modeling, and data warehousing best practices
Familiarity with monitoring, logging, and data quality practices for data workflows
Excellent analytical and problem-solving skills with strong attention to detail
Great communication skills and ability to work cross-functionally
Self-motivated, curious, and comfortable in a fast-paced, fast-growth startup environment

Benefits

Competitive salary in the AI industry
Substantial equity in a fast-growing startup defining the future of AI and creativity
Comprehensive health benefits, monthly stipends, and company retreats
Collaborative, high-growth culture where everyone contributes to growth and success

Nice to have

Experience supporting data for machine learning or AI-powered applications
Familiarity with real-time or streaming architectures such as Kafka or Kinesis
Prior work at high-growth startups or experience with rapid scaling
Open source, hackathon, or data engineering community experience

Tech stack

Python, Go, Node.js, Postgres, Redis, Docker, Kubernetes, AWS/GCP

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1d ago

Multimedia Software Engineer

Experis Palo Alto, CA

Palo Alto, CA

1d ago

$50 - $60/hr Contract Audio Audio Subsystem Camera Subsystem

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Job Description

The Multimedia Software Engineer will support multimedia integration and safety monitoring work for the AMD iRDK platform as part of the Ok2Book proof of concept, with ownership spanning camera and audio bringup as well as safety monitor subsystem integration and validation.

Key Responsibilities

Support safety monitor subsystem integration and multimedia bringup, including audio and camera, for the AMD iRDK platform as part of the Ok2Book proof of concept.
Integrate and validate the safety monitor subsystem on the AMD iRDK platform, including watchdog, error detection, and FTTI.
Own camera subsystem bringup, covering MIPI CSI-2, ISP integration, V4L2, camera HAL, and frame capture validation.
Own audio subsystem bringup, covering codec integration, ALSA, audio HAL, and latency measurement.
Interface with AMD on safety and multimedia driver support.

Required Qualifications

Experience with multimedia subsystem integration and validation.
Knowledge of camera interfaces and components, including MIPI CSI-2, ISP, V4L2, and camera HAL.
Proficiency in audio subsystem development, including codec integration, ALSA, and audio HAL.
Strong understanding of safety monitor systems, including watchdogs and error detection mechanisms.
Excellent communication skills to coordinate with AMD and internal teams.

Relevant Technologies

AMD iRDK platform
Ok2Book
watchdog, error detection, FTTI
MIPI CSI-2, ISP, V4L2, camera HAL
frame capture validation
codec integration, ALSA, audio HAL
latency measurement

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay
Immediate start with potential for a 3-month contract-to-hire arrangement

Additional Compensation Details

Pay range: $50 - $60 per hour (USD)
Job type: Contract
Location: Palo Alto, CA (onsite)

Benefits Eligibility After Waiting Period

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

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5d ago

Embedded Software Engineer

Compunnel Inc. Palo Alto, CA

Palo Alto, CA

5d ago

$55 - $60/hr Full time Electrical Engineering Automotive Electronics CAN

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Job Description

Embedded Software Engineer role focused on body controls software architecture, integration, validation, and functional safety.

Location: Palo Alto, CA (onsite)
Pay: USD 55 - 60 per hour
Schedule: 40.0 hours/week
Experience: 10+ years

Responsibilities

Evolve body controls software architecture, creating solutions and defining hardware/software interfaces
Lead early-stage hardware and software integration, validating system performance against requirements
Convert high-level vehicle objectives into software specifications for body control systems
Use field data to refine and optimize body control system performance
Partner with validation teams to design test strategies for body control functionality
Diagnose and resolve complex hardware/software interactions across the product lifecycle
Evaluate design changes and determine impacts across hardware and software components
Support functional safety using DFMEA and HARA for body control systems
Advise cross-functional teams and guide technical decisions across electrical, software, manufacturing, and mechanical areas
Enable cross-domain alignment by clarifying system interdependencies to support seamless vehicle integration

Requirements

Technical degree in a relevant field (e.g., Mechatronics, Electrical Engineering, Computer Engineering, Systems Engineering)
C/C++ proficiency and scripting familiarity (e.g., Python)
Strong problem-solving in complex, networked embedded systems
Ability to interpret data to optimize system performance
Knowledge of hardware/software development lifecycles
Proven experience leading collaborative engineering projects
Solid understanding of electrical engineering principles and mechatronic systems
Experience with CAN and/or LIN communication protocols and associated tools
Knowledge of DFMEA, HARA, and fault tree analysis methodologies
State machine diagram creation capability
- Create and draw a state machine diagram based on a provided scenario
- They will do a state machine diagram on Glider and then with KCS
Ability to visually construct a state machine is required

Technologies

C/C++, Python
CAN, LIN
QNX, Android
UART, SPI, I2C
ISO 26262, ASIL-D

Applicable Skills

10+ years embedded software and systems engineering experience with C/C++ and Python across automotive and safety-critical platforms
Automotive background from General Motors; experience supporting QNX and Android vehicle platforms
Hands-on vehicle networking and embedded diagnostics including CAN, LIN, ECU/ECM, UART, SPI, and I2C
Functional safety experience including ISO 26262 and ASIL-D
Experience translating system requirements into test, validation, and observability approaches, including support for OTA software releases and cross-functional teams
Debugging and troubleshooting across hardware/software domains, including root-cause analysis and field-data-driven optimization

Preferred

Broad body control experience (doors, trunk, frunk, windows, seating, lighting, mirrors, wipers, heaters, steering wheel controls, and other actuators and sensors)
Experience with vehicle software organizations and cross-functional collaboration
Experience driving body controls functionality and performance across the product lifecycle
Experience with electric vehicle systems and architectures
Interest in automotive technology and shaping vehicle experiences

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7d ago

Full Stack Data Engineer

Pivotal Palo Alto, CA

Palo Alto, CA

7d ago

Full time Backend Developer Python Analytics

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Job Description

Pivotal is seeking a Full Stack Data Engineer to build internal applications that help engineering teams explore and interpret flight data.

Responsibilities

Build and maintain internal web applications engineers use for flight data, including flight record browsers, query interfaces, and analysis tools over the warehouse.
Develop Python services and HTTP APIs that query Athena and S3, returning results at interactive speed with pagination and caching over large result sets.
Create data interfaces that make large telemetry datasets explorable using sortable tables, filters, and time-series plots, designed for engineers who do not write SQL.
Build agent-based tooling that enables engineers to ask questions in plain language and trace symptoms to root cause without hand-writing queries.
Design agent outputs to include underlying data and derivation details so engineers can verify before acting.
Convert recurring one-off analyses from firmware, GNC, battery, and maintenance teams into supported self-serve tools rather than scripts only the original author can run.
Generate an internal field guide and data catalog from the warehouse to prevent drift between documentation and tables.
Keep catalog metadata machine-readable so tooling and agents interpret results correctly.
Build review and triage surfaces for fleet health alerts, including acknowledgment, history, and trend views, alongside existing dashboards and Slack notifications.
Package and distribute analysis tooling so it runs on an engineer laptop, including Windows, without environment setup guidance.
Own delivery through deployment, including tests, code review, CI/CD, and monitoring to identify when something breaks.
Partner with engineering teams to scope needs, ship with clear documentation, and support handoffs for ongoing maintenance.

Requirements

2+ years of professional experience building and shipping web applications, from backend through front end.
Bachelor’s degree in Computer Science or related technical discipline, or equivalent practical experience.
Proficient in Python and comfortable writing SQL against a real database.
Experience with a modern JavaScript or TypeScript front-end framework (React, Vue, or similar).
Built and consumed HTTP APIs, including authentication, pagination, and error handling.
Comfortable with Git-based workflows, code review, and CI/CD.
Can work with non-software engineers to define needs and ship solutions; many requirements come from conversation rather than a static spec.

Technologies

Python, SQL, JavaScript, TypeScript
React, Vue
HTTP APIs
AWS Athena, Amazon S3
Git-based workflows, CI/CD
Windows, Slack notifications

Benefits

Comprehensive benefits package, including medical, dental, vision, and 401k plans.

Preferred Qualifications

AWS experience, particularly S3, Athena, Lambda, or API Gateway.
Experience working with large or time-series datasets and knowledge of keeping UIs responsive over millions of rows.
Charting and data visualization libraries; Grafana dashboard development.
Docker and infrastructure as code with Terraform.
Experience building with LLM APIs or agent frameworks, including tool use, retrieval over structured data, and evaluating whether output can be trusted.
Built internal tools where users are colleagues rather than customers.

Familiarity / Experience

Aerospace, automotive, or robotics telemetry, and flight or vehicle test data.
Packaging desktop or command-line tooling for non-developer users, including on Windows.
Authentication and access control for internal applications (SSO, IAM, scoped credentials).
Regulated or safety-critical environments with traceability and data retention requirements.
Natural-language or conversational interfaces over structured, time-series, or diagnostic data.
Interest in RC planes, quadcopters, or aviation.

Other Employment Details

Applicants must be eligible for employment in the United States.
Willingness to work onsite at the HQ office in Palo Alto, CA.

AI in the Hiring Process

AI tools may be used to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals based on available information.
AI tools assist the recruitment team but do not replace human judgment.
Final hiring decisions are made by humans.

Core-Values Alignment

Safety Above All
Customer Focus
Work Better Together
Be the Pilot
Embrace the Unknown
Respect for People

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1mo ago

Frontend Engineer - UI/UX Focus

Zettabyte Palo Alto, CA

Palo Alto, CA

1mo ago Closed

Full time Design Experience Design Figma

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

Zettabyte is building user-focused experiences for complex systems, and this hybrid role in Palo Alto pairs interface design with production engineering. You will move from concept to implementation, shaping how the UI looks and how it connects to live data and APIs.

What you’ll do

Design user interfaces and workflows in Figma, producing mockups and prototypes
Implement your designs in Vue.js (primary) and Next.js
Collaborate with backend engineers to design and consume RESTful and GraphQL APIs
Build reliable state management and data-fetching layers for complex UI requirements
Own the end-to-end design-to-code pipeline for new features
Create intuitive dashboards and visualizations using real-time API data
Handle loading patterns, API error states, and data synchronization to keep experiences consistent
Conduct user research, define user flows, and iterate based on feedback
Balance visual design goals with technical constraints and performance needs

What we’re looking for

4+ years combined experience in frontend development and UI/UX design
Strong experience with Vue.js (Vue 3 preferred), plus React/Next.js, TypeScript, and modern CSS
Experience integrating with APIs, handling async data, and managing state (such as Pinia/Vuex and Redux)
Proficiency with REST APIs, GraphQL, and WebSocket connections
Understanding of API design principles and the ability to provide feedback to backend teams
Figma proficiency for production-ready design work
A portfolio that demonstrates both design output and implemented projects
Solid design fundamentals including typography, color theory, spacing, and visual hierarchy
Experience taking features from concept through implementation

Tools you’ll use

Figma, Vue.js, Vue 3, Next.js, React, TypeScript, modern CSS, Pinia, Vuex, Redux, REST APIs, GraphQL, WebSocket connections, and RESTful/GraphQL APIs.

Benefits

Competitive salary and equity based on your experience and skill set

Additional qualifications (preferred)

Experience with API testing tools such as Postman or Insomnia
Knowledge of backend technologies to improve API collaboration
Real-time data visualization experience
Experience with OpenAPI/Swagger documentation
Formal design education or an HCI background
Design systems experience (creating and maintaining)
Background in developer tools or technical product design

Role details

Location: Palo Alto, CA (hybrid). 3 days in office, 2 days WFH. Must locate in Palo Alto.
Work authorization: Applicants must be authorized to work in the United States without visa sponsorship.