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Python Backend Engineer

Palo Alto,CA

1088 Python Backend Engineer jobs in Palo Alto,CA

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Sr Staff Frontend Software Engineer, AI Hub

Qualcomm

Santa Clara, CA 95053

~ 20 min Onsite

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, or related work experience.
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
  • Experience with modern React ecosystem: React Router v7, TanStack Query, Tailwind
  • Experience with UX concepts, applying user-centered design principles to product development, and collaborating with designers.
  • Working knowledge of object‑oriented programming and design concepts
  • Proficiency in TypeScript, with experience using React and modern frontend tooling (e.g., Vite, React Router)
  • Backend development experience using Python
  • Understanding of relational databases
  • Basic experience or exposure to CI/CD pipelines (e.g., GitHub Actions, Azure Pipelines)
  • Awareness of cloud platforms, particularly AWS
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, or related work experience.
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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Annapurna Labs (U.S.)

Cupertino, CA 95014

~ 18 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Electrical Engineering or a related field
  • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
  • Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
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Combat Engineer - Find Success in US Army

US ARMY

Monterey, CA 93940

Requires TravelEducation AssistanceHealth InsurancePaid Time Off

  • Attend a 14-week paid training program to gain skills and certifications in construction, engineering, demolition, and heavy equipment operations.
  • Advanced certifications require additional full funded training programs.
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Principal AI Data Scientist - Wafer Fabrication

Coherent

Fremont, CA 94538

Hybrid~ 27 min

  • The Candidate will have a minimum of 5 years of experience with AI, preferably including ML, preferably with experience in statistical analytic techniques.
  • A Bachelor's degree in Data Science, Engineering, Science, Computer Science or Mathematics is required
  • Strong knowledge of statistical methods, experimental design, regression, classification, clustering, anomaly detection, and model evaluation.
  • Programming skills in Python and experience with common data-science and machine-learning libraries.
  • Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems.
  • Experience with SQL and modern data-processing or data-platform technologies.
  • Experience in AI/ML model deployment through RESTful APIs, containerization, and container orchestration.
  • Experience with cloud-based ML training and inference using AWS, GCP, Azure, or Databricks is a plus.
  • Experience working with structured, time-series, sensor, or high-volume manufacturing data.
  • Exposure to wafer fabrication, photonics, and telecommunications is a plus.
  • Ability to work collaboratively with domain experts and explain complex analytical results in practical engineering terms.
  • Demonstrated ability to take an analysis from problem definition through deployment, validation, and communication of results.
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Solutions Engineer

Viavi Solutions

San Jose, CA 95123

Paid Relocation to San Jose, CA

RemoteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree from an accredited university in Engineering or related technical field (or equivalent work experience).
  • Minimum 5 years of experience in technical sales, business development, or pre-sales in the telecommunications, networking, or test and measurement industry.
  • Proven track record managing large strategic accounts, preferably Cisco or other major OEMs.
  • Strong background in networking, network security, and applications.
  • Hands-on experience with IP and Ethernet technologies : Data Center Ethernet, 1.6T/800/400/100/40/10GigEth, L4-L7 technologies, AI/ML, RoCEv2/CCL.
  • In-depth knowledge of routing protocols : IPv4/IPv6, RIP, BGP, OSPF, ISIS, RSVP-TE.
  • Familiarity with MPLS protocols : RSVP-TE, LDP.
  • Application-level protocol knowledge: HTTP(S), TCP/IP.
  • Experience with test platforms such as: TestCenter, CyberFlood, Viavi, Keysight/Ixia, BreakingPoint Systems (preferred).
  • Programming/scripting experience in Python (a plus).
  • Cisco certifications (CCNA, CCNP, CCIE) are highly desirable.
  • Pre-Sales Support & Customer Engagement
  • Partner with account teams to drive technical strategy and solution design for key accounts.
  • Provide direct pre-sales support to customers, tailoring product presentations and delivering technical demonstrations.
  • Understand customer business needs and translate them into consultative, value-driven solutions.
  • Lead proof-of-concept activities, ensuring successful technical evaluations.
  • Collaboration & Solution Development
  • Work with internal and external teams to anticipate, qualify, and respond to customer needs.
  • Serve as liaison between sales, product marketing, and engineering to communicate customer requirements and feature requests.
  • Provide post-sales technical support and ongoing customer training as required.
  • Collaborate with VIAVI Support and Engineering teams to resolve technical issues quickly and effectively.
  • Relationship Building
  • Build and maintain trusted technical relationships with strategic customers, particularly large accounts such as Cisco.
  • Develop long-term customer partnerships to support account growth and ongoing success.
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LabVIEW Systems Engineer Level 4

Northrop Grumman

Sunnyvale, CA 94087

~ 16 min OnsiteHealth InsurancePaid Time Off

  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related STEM discipline with 8 years of relevant experience
  • Master's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related STEM discipline with 6 years of relevant experience
  • Experience with NI PXI, or similar DAQ hardware
  • Experience with timing and synchronization methods
  • Experience with large channel count systems (50+ channels preferred)
  • Experience developing applications in LabVIEW
  • Experience with continuous data acquisition and streaming
  • Familiarity with signal processing fundamentals (FFT, filtering, frequency-domain analysis)
  • Experience supporting test, manufacturing, or factory acceptance environments
  • Hands-on testing experience with accelerometers and microphones, including data acquisition and signal processing
  • US Citizenship required
  • Ability to obtain and maintain Secret Clearance
  • Relocation assistance may be available
  • TRAVEL: Yes, 10% of the Time
  • CLEARANCE TYPE: Secret
  • CLEARANCE REQUIRED FOR START: No
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Manager, AI Engineer

KPMG

San Francisco, CA 94112

~ 42 min OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
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STAFF MANUFACTURING ENGINEER

TE Connectivity

Milpitas, CA 95035

~ 22 min Onsite

  • BS/MS in Mechanical, Electrical, Chemical, Manufacturing, or Materials Engineering (or closely related engineering field)
  • Hands-on experience with semiconductor/MEMS wafer processing in a cleanroom environment
  • Demonstrated data driven decision making
  • Proficiency with engineering tools such as metrology equipment, wafer probing systems, SPC/DOE software (Minitab/JMP)
  • Experience with process control, formal process release, and engineering documentation (PFMEA, control plans, specifications)
  • Strong analytical and statistical skills with demonstrated use of ANOVA, SPC, DOE, or advanced data analysis methods in production environment
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Electric Distribution Engineer, Asset Strategy Engineering, Senior - Oakland

PG&E Corporation

Oakland, CA 94612

Hybrid~ 45 min

  • A BSEE, MSEE, or PhD in Electrical Engineering from a college or university accredited by the Accreditation Board of Engineering and Technology, or the equivalent from outside the United States.
  • Minimum of seven (7) years of experience in electrical power engineering and design.
  • Having an active status California Professional Engineer (PE) license or master's degree in electrical engineering (MSEE) will credit for one year of experience.
  • A maximum of two (2) years of qualifying experience can be achieved through having both a PE and MSEE.
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Senior Additive Manufacturing Engineer

Velo3D

Fremont, CA 94536

$145,000-$155,000/yr
~ 27 min OnsiteHealth InsuranceRetirement Benefit

  • 8+ years of hands-on experience in metal additive manufacturing, production engineering, or advanced manufacturing environments.
  • Bachelor's or Master's degree in Industrial Engineering, Manufacturing Engineering, Materials Science, or a related technical discipline.
  • U.S. Citizenship required due to the nature of company government contract work and associated security requirements.
  • Strong understanding of GD&T;, dimensional inspection methods, scan-based metrology, and translating measurement data into process improvements and compensation strategies.
  • Demonstrated experience leading structured continuous improvement initiatives in a production environment, including problem definition, experimentation, data analysis, implementation, and standardization.
  • Ability to work effectively on the manufacturing floor, collaborate directly with operators and technicians, and resolve technical challenges in real time.
  • Strong communication and leadership skills with the ability to influence and align stakeholders across engineering, operations, quality, program management, and executive leadership.
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