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80Twenty
Machining engineer job in San Francisco, CA
80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates.
Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers.
This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities.
In this role, you will:
Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows.
Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems.
Lead architectural design discussions and set long-term technical direction for the backend stack.
Implement best practices for system reliability, observability, security, and scalability.
Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes).
Mentor fellow engineers and help shape our backend engineering culture.
Optimize system performance and streamline complex data flows across distributed services.
Influence and define standards for how we build, test, and deploy software across the company.
Who You Are
7+ years of backend engineering experience, ideally in fast-moving production environments.
Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks.
Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design.
Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability.
Excellent communicator who enjoys collaborating across disciplines.
Motivated by solving complex real-world problems in healthcare and improving patient outcomes.
Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments.
Why This Role Stands Out
You'll own high-impact systems that directly affect patient and provider experiences.
You'll shape backend architecture and engineering best practices in a growing company.
You'll join a profitable, non-VC-backed organization focused on long-term sustainability.
You'll work in-person with an ambitious, mission-driven team in downtown San Francisco.
Competitive compensation, equity opportunities, and strong benefits designed to help you thrive.
This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you!
Base salary: $250k-300k DOE + generous equity and benefits
$250k-300k yearly 3d ago
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BIOPHARMACEUTICAL - SR C&Q ENGINEER
MMR Consulting
Machining engineer job in San Jose, CA
Previous Pharmaceutical/Biotech experience is mandatory for this role.
MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and other Consulting services.
MMR Consulting has offices in Canada, USA, and Australia.
This is an outstanding opportunity to join our growing team, where the successful candidate will work with a group of engineers and specialists involved in project management, commissioning and qualification, of equipment, systems and facilities. The work will require working out of the client's facilities in San Francisco Bay Area, California.
This role is for Bioprocess Sr. C&Q Engineer role to work on the commissioning, qualification, startup of upstream and downstream bioprocess systems/equipment in the biopharmaceutical industry, as well as process equipment in pharma/biotech industries. The ideal candidate should possess leadership skills to lead/mentor intermediate/junior engineers.
Responsibilities
Provide technical guidance into the commissioning, qualification and start-up of various equipment and facilities used in life science manufacturing, such as bioreactors, tanks, CIP, Buffers, Media, Chrom, TFF, washers & autoclaves, etc.
Lead the development of key qualification deliverables during the project lifecycle to ensure project is well defined, and the action plan to test the system is applicable and relevant.
Lead qualification processes throughout the project lifecycle such as VPP, Risk Assessments, RTM, DQ, FAT, SAT, IQ, OQ and PQ as appropriate to ensure timely completion and to ensure all quality and engineering specifications are met.
Prepare protocols, execute protocols, summarize data, resolve deviations, prepare final reports.
Experience with C&Q of process equipment, utilities, facilities is an asset. Thermal Validation experience is an asset.
Coordinate meetings with cross-functional departments, to drive project progress, facilitate decisions, provide updates.
Engage other departments, as required, for design reviews and decisions.
Travel may be occasionally required for meetings with clients, equipment fabrication vendors or Factory Acceptance Testing (FATs).
Work may require occasional support over shutdowns or extended hours, specifically during installation and commissioning / validation phases.
Client-management (maintain key Client relationships in support of business development and pursuit of new work), project scheduling/budgeting, coordination of client and MMR resources for effective project delivery, supporting business development (providing technical support to the sales as required for proposals/opportunities), presenting at industry conferences/publishing papers etc.
Visit construction and installation sites following all site safety requirements.
Other duties as assigned by client, and/or MMR, based on workload and project requirements.
Qualifications
8-12+ years for years of experience in commissioning, qualification or validation of various systems within the pharmaceutical/biotech industry.
Excellent written and spoken English is required including the preparation of technical documents in English
Knowledge of requirements for a cGMP operations, including SOPs, Change Controls, Validation.
Experience with developing and executing validation projects. Risk-Based Commissioning & Qualification approaches, such as ASTM E-2500 or ISPE ICQ, is considered an asset, but not required.
Experience with commissioning and qualification of biotech process equipment (upstream or downstream or both), such as some, but not all, of the following: fermentation, bioreactors, downstream purification processes (chromatography, TFF, UF) is required
Experience with commissioning & qualification of process control systems (i.e. PCS, SCADA, Historians) and building automation systems (i.e. Siemens Insight / Desigo, JCI Metasys) are considered an asset, but not required.
Experience with Qualification or Validation of clean utilities, ISO clean rooms, and Thermal Validation is considered an asset.
Experience with preparation and execution of URS's, DQ's, RTMs, Risk Assessments, CPPs, VPPs, FATs, SATs, IOQs, NCRs, Final Reports.
Ability to lift 50 lbs.
Engineering or Science degree, preferably in Mechanical, Electrical, Chemical, Biochemical, Electromechanical or a related discipline.
Ability to handle multiple projects and work in a fast-paced environment.
Strong multi-tasking skills
Salary range: 100,000$ -145,000$ based on experience.
Equal Employment Opportunity and Reasonable Accommodations
MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.
$117k-164k yearly est. 23h ago
Self Perform Project Engineer
Flint 4.7
Machining engineer job in San Jose, CA
About us:
FLINT focuses on the design-build and design-assist delivery methods, producing the highest quality of projects and yielding the greatest value to our clients. Our employees and industry partners are truly some of the best people you will ever work with. FLINT is built on values, ethics, quality design, and exceptional construction. Our “master builder” approach to design and construction is the hallmark of our firm. FLINT is honored to be selected as the General Contractor of the Year by the Associated Subcontractors Alliance of Sacramento for five consecutive years.
One of the key attributes to the success of FLINT is the employment and retention of highly talented individuals. From this, FLINT has established itself as one of the preeminent Design-Builders in the western region. Our relationships and experiences have shaped our purpose: to create an extraordinary building experience through collaboration with passionate professionals.
Who we are seeking:
» 3+ years of experience, capable of performing project management functions on small projects ($2-$5M) with minor Project Management oversight.
Essential job functions:
» Manage overall project administration and ensure compliance with all project requirements.
» Engage with architects and owners for business development.
» Draft and review subcontracts and purchase orders to ensure the scope of work is accurately defined.
» Review project documents and familiarize with project participants.
» Determine submittal requirements and maintain the submittal log.
» Develop and maintain overall project schedules and short-term schedules.
» Conduct regular site visits to ensure proper construction and adherence to schedule.
» Obtain necessary permits and ensure timely receipt of recorded documents.
» Strong grasp of construction terminology and activities.
» Basic understanding of all trades including MEP and building permit process.
» Ability to estimate CORs, assist in bidding, and assemble project estimates.
» Proficiency in cost control types and delivery methods.
» Skills in project documentation, scheduling, safety practices, and technology tools (Fieldview, Viewpoint, Team VPT1, Bluebeam, Pype, GCPay, P6, and Vista).
» Business development skills with the ability to maintain customer relations.
» Understanding of fee enhancement, risk mitigation, and client management.
» Ability to mentor team members and promote teamwork and cooperation.
$77k-104k yearly est. 3d ago
Senior Project Engineer
Metric Geo
Machining engineer job in San Jose, CA
Project Engineer - Bridge & Transportation Construction
We are partnering with a well-established heavy civil contractor specializing in transportation and bridge infrastructure to recruit a Project Engineer to support the delivery of multiple bridge construction projects across the Bay Area.
This role is ideal for an engineer looking to deepen their experience on complex structural bridge work, gain exposure to large public works projects, and progress toward a Project Manager career path.
Key Responsibilities
Support the delivery of bridge construction projects, including foundations, substructure, superstructure, and deck scopes
Assist with project planning, scheduling, cost tracking, and quantity takeoffs
Manage RFIs, submittals, change orders, and document control
Coordinate with superintendents, inspectors, designers, and subcontractors
Track material procurement and subcontractor progress
Support cost forecasting, budget updates, and project reporting
Assist with quality control, safety compliance, and Caltrans/DOT documentation
Participate in constructability reviews and preconstruction planning
Required Experience & Qualifications
2-7 years of heavy civil construction experience, preferably on bridge or transportation projects
Exposure to bridge structures (piles, footings, columns, decks, girders, falsework, etc.)
Experience working on public works / Caltrans / DOT projects strongly preferred
Bachelor's degree in Civil Engineering, Construction Management, or related field
Strong organizational skills and attention to detail
Ability to work in a fast-paced, field-driven environment
Proficiency with construction software (Procore, Primavera, or similar preferred)
Why This Opportunity
Hands-on experience on high-profile Bay Area bridge projects
Clear career progression into Project Manager or Senior Project Engineer roles
Work alongside experienced bridge PMs and Superintendents
Stable project pipeline in one of California's strongest infrastructure markets
Competitive compensation and full benefits package
$99k-133k yearly est. 23h ago
Project Engineer
Us Careerlink
Machining engineer job in San Jose, CA
Project Engineer - Electrical (San Francisco, CA)
A well-established Bay Area electrical contractor is seeking a Project Engineer to support major public-works projects across San Francisco. The company specializes in street-lighting systems, traffic signals, low-voltage infrastructure, ITS/communications, and overhead traction power systems for municipal transit.
This role is ideal for an electrical engineer who wants to build a long-term career in electrical infrastructure and public utilities.
Role Overview
The Project Engineer will support project planning, coordination, documentation, and field execution. You'll work closely with Project Managers, Superintendents, and field crews to ensure successful delivery of complex municipal electrical projects.
Key Responsibilities
Project Coordination & Documentation
Prepare RFIs, submittals, as-builts, change orders, and close-out packages
Assist in developing schedules, phasing plans, and manpower forecasts
Track quantities, production, materials, and delivery schedules
Maintain communication with suppliers, subcontractors, and city inspectors
Technical & Engineering Support
Review and interpret plans, specifications, one-lines, and signal/lighting layouts
Support engineering tasks for:
Street-lighting and roadway illumination
Traffic signals, pedestrian safety systems, and controllers
Low-voltage ITS, communications, and fiber systems
Overhead traction power used by electric bus fleets
Assist with utility coordination, conduit routing, duct bank layout, and pole/fixture placement
Participate in QA/QC checks and site inspections
Field Support
Conduct site walks and support daily project reporting
Ensure work complies with NEC, Caltrans, and City & County of SF standards
Assist with safety documentation and equipment tracking
Cost Control & Estimating
Support cost tracking, production reporting, and invoice review
Assist with takeoffs and estimating for new bids and upcoming scopes
Requirements
Bachelor's degree in Electrical Engineering is required
0-5 years of experience in construction, electrical infrastructure, utilities, or low-voltage systems
Strong understanding of electrical fundamentals (voltage, current flow, grounding, circuits)
Ability to read plans, technical specifications, and electrical diagrams
Strong organizational and communication skills
Proficiency with MS Office; experience with Bluebeam, AutoCAD, or Procore is a plus
Valid driver's license and willingness to perform site visits
Compensation & Benefits
Base salary: $80,000 - $120,000 DOE
Company vehicle + fuel card
401(k)
Health & dental insurance
Paid time off and company-paid holidays
Strong long-term career progression into Assistant Project Manager and Project Manager roles
$80k-120k yearly 2d ago
Project Engineer
Redwood Electric Group 4.5
Machining engineer job in Santa Clara, CA
Redwood Electric is looking for a highly motivated and proactive individual who will be responsible for supporting the Project Manager and Project Team in the day-to-day operations of construction projects.
About us
Redwood Electric Group is a large business providing electrical construction and design services. We operate throughout the Greater Bay Area with offices in Santa Clara, San Leandro, Vacaville, and Sacramento. At Redwood Electric Group, our philosophy is focused on the commitment to our customers. Their success is a direct reflection of our success. Our business continues to reflect strong growth through innovation and our team's commitment to exceed customer expectations.
Responsibilities
Duties will include but are not limited to material procurement and tracking, document management, estimating, and client relations. Workload may vary from several small-sized jobs to one large project.
Support projects team with day-to-day operations of construction projects.
Review project drawings and/or specifications for given projects.
Establish and create submittals in conjunction with submittal logs.
Assist with the production and/or processing of RFIs.
Material procurement including quantity take-offs coordination with purchasing team and tracking tools to ensure product is delivered on schedule.
Change Order pricing, including lump sum change orders and Field Work Order tracking and proposals.
Assist engineering department on design/build projects.
Attend project and field job site meetings as needed.
Coordinate schedules with the field team and superintendent onsite.
Coordinate schedules with vendors, manufacturers, and subcontractors.
Interact with clients, interpreting their needs and requirements, and providing timely responses.
Prioritize and perform multiple tasks in a dynamic environment with time-sensitive deadlines.
Understand and follow operating procedures within company and jobsite guidelines.
Represent the company in a safe and professional manner.
Skills and Qualifications
Minimum 2 years of experience in the electrical construction industry as a Field Engineer and/or Estimator
High school diploma or GED required
Degree in Construction management, engineering or related field preferred
Experience with Accubid Trimble preferred
Proficient with Microsoft Office, Adobe, and Bluebeam
Ability to problem solve and drive positive resolutions
Adept at organizing and documentation
Strong research and analytical skills Knowledge of inventory and supply management preferred
Working Conditions
This position is based in our Santa Clara office and is not eligible for remote work.
Work may be performed in an office or on active job sites, depending on role and project needs.
Office work includes sitting, typing, and using a computer for extended periods.
Field environments may involve walking, standing, bending, or lifting materials (up to 30 lbs).
Noise levels range from quiet (office) to high (job sites).
May require occasional travel to project locations or meetings.
REG will provide reasonable accommodations as required by the ADA and applicable state law.
Disclaimer
The duties and responsibilities listed above are representative of the work typically performed in this role but are not intended to be a comprehensive list. Actual responsibilities may vary depending on department needs, project scope, or business requirements. Employees may be assigned additional tasks as needed to support company goals and operations.
$77k-104k yearly est. 1d ago
Senior Design Engineer
Ellaway Blues Consulting
Machining engineer job in Union City, CA
A leading mechanical contractor specializing in HVAC and Plumbing systems for commercial, industrial, and institutional construction projects is seeking a Senior Design Engineer to join their growing engineering team. This is a high-impact role responsible for developing mechanical system designs, supporting construction operations, and delivering high-quality engineered solutions for complex building projects.
If you're a mechanical engineer who enjoys solving technical challenges, collaborating with field teams, and influencing project success from concept through construction, we want to speak with you.
What You'll Do
Lead mechanical (HVAC & plumbing) design efforts for new construction and renovation projects across commercial, industrial, healthcare, education, and specialty markets.
Prepare load calculations, equipment selections, and detailed design documents including plans, specifications, and technical reports.
Perform design reviews, value-engineering evaluations, and constructability assessments to optimize system performance and project cost.
Support project managers, estimators, and field teams with design clarifications, submittal reviews, RFIs, and technical problem-solving during construction.
Collaborate with architects, structural engineers, civil engineers, and trade partners to ensure coordinated, code-compliant design packages.
Work closely with field installation teams to confirm feasibility, identify improvements, and support installation sequencing.
Lead system analysis for energy performance, system efficiency, life-cycle costing, and equipment sizing.
Ensure all designs meet building codes, mechanical standards, and company quality expectations.
Mentor junior engineers, assist with design standards development, and help elevate overall engineering capabilities.
What You Bring
Bachelor's degree in Mechanical Engineering or related field; PE license preferred.
5-10+ years of experience designing HVAC and plumbing systems for building construction projects.
Strong knowledge of mechanical codes, building codes, and industry standards (IMC, IPC, ASHRAE, NFPA).
Proficiency with engineering design tools such as Revit, AutoCAD, Trane Trace / HAP, and industry-specific calculation software.
Experience working for a mechanical contractor or MEP consulting firm strongly preferred.
Ability to interpret construction drawings and collaborate closely with field installation teams.
Strong communication skills with the ability to interface directly with clients, contractors, and internal stakeholders.
Self-driven, detail-oriented, and capable of managing multiple projects concurrently.
🔹 Why Join Us?
Opportunity to influence mechanical system design across major construction projects.
Collaborative, team-oriented culture where engineering and field teams work hand-in-hand.
Competitive compensation and benefits package.
Strong pipeline of exciting projects and long-term growth opportunities.
$112k-156k yearly est. 1d ago
Project Engineer
Placement Club
Machining engineer job in San Francisco, CA
Based in San Francisco, is a premier construction company specializing in grading, paving, and asphalt services, and been in business for 40 years. Known for their quality craftsmanship and commitment to sustainability, they provide a wide range of services including road construction, asphalt repair, sealcoating, and site development. We have earned a solid reputation for timely project completion, attention to detail, and exceptional customer service. Their expertise serves both public and private sector clients, making them a trusted name in the Bay Area,
We are currently seeking a Project Engineer to join our dynamic Team in our new San Francisco office - supporting Paving, Grading, & Civil construction projects.
Job Description:
Support construction activities by planning, organizing, and implementing project engineering & project controls tasks as required for successful project execution.
Processing Submittals, Change Orders, and RFI's
Safe work planning and execution.
Project Layouts
USA Layout (calling and updates)
Quality control supervision.
Quantity tracking Budget management
Scheduling 3 weeks, 9 day look ahead, weekly schedule update (every Monday) and monthly Project Schedule Baseline Update.
Contract / subcontract administration.
Change coordination (COR).
Document control (tags, invoices, and material).
Project closeout.
Provide supervision on-the-job for activities performance.
Develop complete understanding of contract plans and specifications.
Assist the project team in implementing overall Quality Management system.
Inspect field conditions and identify problems, inaccuracies, and cost saving measures that arise or that may be encountered. Take corrective actions as needed.
Inspect subordinates' work for compliance with the contract plans and specifications, point out deficiencies and explain and take any corrective action needed.
Ensure compliance with all regulatory requirements for executing projects.
Tracking material costs and quantities entering project sites.
Create reports based on monthly material costs and inventory.
Perform material takeoffs from drawings, specifications, and other contract documents.
Perform basic engineering calculations and technical drafting to support field operations.
Interpretation of drawings and specifications for field crews and craft supervision.
Perform quantity calculations by taking measurements and determining percentage of completed/installed materials and work (billing process).
Perform the preparation of work plans and work packages.
Field surveying and work layout support including elevation, control points, and compilation of as-built data.
USA layout/call in remarks.
Layout pothole activities and performing the report.
Assist in compiling, processing, and confirming daily labor timesheets.
Participate in jobsite safety reviews, toolbox meetings, mass safety meetings, and safety training.
Assist on Order and schedule material deliveries.
Regular, reliable attendance.
Work productively and meet deadlines timely.
Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
May need to work additional hours during the week and weekend to complete job responsibilities within deadlines.
May work at various locations and conditions may vary.
Evaluate, prepare, and distribute appropriate RFI's and COR's.
Maintain accurate logs/records of the activities associated with RFI/Submittal/COR processes and ensure that critical pending items are brought to the forefront.
Support on multiple projects
Qualifications:
BS Degree in Construction Management, Engineering, or related field - may substitute degree for field experience
Minimum of (1) years' experience in construction or engineering with an emphasis on Civil Projects
Experience with Concrete, Paving, or Civil Construction a plus
Working knowledge and ability to direct the operation of at least the following management systems: accounts payable/accounts receivable, materials control, estimating, job cost updates and subcontracts
Proven abilities and skills in the following: leadership and management of people, communication (verbal and written), planning, organization, delegation as well as teaching and mentoring
Ability to set standards of excellence in leadership, safety, quality and productivity for his/her subordinates
Ability to access all areas of the construction site
Previous experience / knowledge of City & County Municipal requirements and specifications a plus.
Excellent people skills & works well with others - team player!
Self-starter & educator
Ability to lift 30 lbs.
Possesses excellent organizational/coordination skills
Computer Skills must include: Microsoft Office (Excel/Word/Access)
$78k-106k yearly est. 3d ago
Principal Machine Learning Engineer, Firefly
Adobe 4.8
Machining engineer job in San Jose, CA
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
Adobe Firefly's Generative AI Services team is seeking a Principal Machine Learning Engineer to serve as the technical lead for our GenAI Services area. In this high-impact role, you will lead a team of talented engineers in building scalable, high-performance generative AI systems-powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will architect and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe's first-party and third-party generative models. As a hands-on technical leader, you will tackle Adobe's most complex engineering challenges, set technical direction, and mentor a growing organization of ML engineers.Job Responsibilities
Lead the development of core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products.
Design and architect ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
Build and optimize GPU-accelerated pipelines for both (customized) model training and inference-prioritizing performance, scalability, and reliability.
Provide hands-on technical leadership, guiding engineers through architecture, design, implementation, and best practices.
Research and evaluate emerging ML and MLOps technologies to enhance engineering velocity and system performance.
Drive cross-functional alignment by partnering with Product Managers, TPMs, and other engineering leaders to define and deliver on the roadmap.
Lead design reviews and set technical standards, ensuring high reliability and maintainability across systems.
Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
What You'll Need to Succeed
MS or PhD in Computer Science, Machine Learning, or a related field-or equivalent industry experience.
8+ years of experience in machine learning, including production-scale deployments.
3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
Deep experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
Strong understanding of generative model architectures, including diffusion models, transformers, and GANs.
Proven success in leading cross-functional teams through complex, high-stakes initiatives.
Excellent communication and leadership skills, with a track record of driving alignment in matrixed organizations.
Preferred Qualifications
Experience with model serving, orchestration, and GPU resource management in large-scale environments.
Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.
#FireflyGenAI
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $206,400 -- $379,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $261,800 - $379,100 In Washington, the pay range for this position is $242,600 - $351,225
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.
$261.8k-379.1k yearly Auto-Apply 60d+ ago
Machine Learning Engineer PhD (Full Time) - United States
Cisco 4.8
Machining engineer job in Milpitas, CA
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice.
**Meet the Team**
Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation.
**Your Impact**
Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment.
Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact!
**Minimum Qualifications**
+ Recent graduate or in your final year of studies toward a PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related field.
+ 3+ years of experience in backend development using Go or Python.
+ Understanding of LLM infrastructure and optimization, validated by technical interview responses, project documentation, or relevant publications.
+ Hands-on experience with model building and AI/LLM research, demonstrated through portfolio work, code samples, technical assessments, or documented academic or professional projects.
**Preferred Qualifications**
+ Experience working with inference engines (e.g., vLLM, Triton, TorchServe).
+ Knowledge of GPU architecture and optimization.
+ Familiarity with agent frameworks.
+ Exposure to cloud native solutions and platforms.
+ Experience with cybersecurity principles and Python programming, including common AI libraries.
+ Familiarity with distributed systems and asynchronous programming models.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
**Message to applicants applying to work in the U.S. and/or Canada:**
Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:
+ 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
+ 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
+ Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
+ Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
+ 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
+ Additional paid time away may be requested to deal with critical or emergency issues for family members
+ Optional 10 paid days per full calendar year to volunteer
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
+ .75% of incentive target for each 1% of revenue attainment up to 50% of quota;
+ 1.5% of incentive target for each 1% of attainment between 50% and 75%;
+ 1% of incentive target for each 1% of attainment between 75% and 100%; and
+ Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$181,000.00 - $270,300.00
Non-Metro New York state & Washington state:
$165,300.00 - $240,600.00
* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
$181k-270.3k yearly 11d ago
Senior Machine Learning Engineer, Perception
Wing 3.9
Machining engineer job in Palo Alto, CA
Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing's fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us.
About the Role
Wing is looking for a Senior Machine Learning Engineer to join as a foundational member of our ML Perception team. You will be at the forefront of advancing our autonomous drone delivery system, leveraging deep learning to ensure our aircraft navigate the world with precision and safety.
At Wing, you aren't just building models in a vacuum; you have access to tens of thousands of hours of flight data from a diverse sensor suite. Your improvements will deploy directly to a large fleet of autonomous aircraft, impacting thousands of real-world customers daily. We value senior engineers who are intrinsically driven and have a knack for solving complex problems with stunningly simple, pragmatic solutions.
What You'll Do:
Design & Deploy: Research, build and deploy highly reliable ML models optimized for resource-constrained, real-time environments.
Scale Research: Utilize Wing's massive datasets to develop and refine complex models that push the boundaries of environmental understanding.
Innovate: Apply state-of-the-art CV foundation models to solve real-world robotics challenges.
Collaborate: Partner across hardware, software, and flight-testing teams to take features from concept to production-ready flight code.
Mentor: Educate and drive ML/AI adoption at Wing.
What You'll Need:
8+ years of experience in ML, deep learning, or computer vision, ideally within robotics or autonomous systems.
MS or PhD in Computer Science, Robotics, Electrical Engineering, or equivalent industry experience leading production-grade ML systems.
Proficiency in Python and/or C++.
Hands-on experience with JAX, PyTorch, or TensorFlow.
Deep understanding of Linear Algebra and modern CV architectures (CNNs, Transformers, etc.).
Domain Expertise: Proven track record in one or more of the following:
Multi-view Geometry & 3D Reconstruction.
Monocular or Stereo Depth Estimation.
Object detection, localization, Semantic Segmentation.
Local and global image features
The ability to drive complex features independently and a history of delivering simple, well-thought-out solutions to business-critical problems.
Publications at top-tier Robotics/CV/ML conferences such as CVPR, ICCV, ECCV, ICML, ICRA, RSS, NeurIPS.
The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing's salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.
Salary Range$222,000-$236,000 USD
Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.
$222k-236k yearly Auto-Apply 7d ago
Senior Robotics Algorithm Engineer
Apple Inc. 4.8
Machining engineer job in Cupertino, CA
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. At Apple, we strive to make great products that empower people and improve their lives. We believe recent breakthroughs in AI/ML and robotics have the potential to unlock new experiences that were never possible before, and are looking for talented robotics algorithm engineers to realize that mission by expanding the capabilities of Apple products and platforms.
As a member of the team, you'll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple products. This position requires a self-motivated algorithm engineer with strong technical and interpersonal skills to handle responsibilities including:
Strong proficiency with classical robotic algorithms (optimization, graph search, etc.) Strong applied math background (e.g., graphics, vision, optimization, controls, or planning) Familiarity with the full robotics stack (controls, perception, motion planning, etc.) Familiarity with Swift and Apple developer tools
MS/PhD in Computer Science, Math, Robotics or related field Strong software engineering background Ability to break down large features and implement practical solutions Curiosity about new technologies, flexibility, and openness to ambiguity Proficiency with modern ML approaches (LLMs, Diffusion Models, etc.) as well as traditional ML methods (Linear Regression, Decision Trees, etc.)
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
Within the Ads Delivery team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. We are looking for a Machine Learning Engineer/Economist with a strong theoretical and data analysis background that understands market design concepts and has the engineering skills to bring them to market. We are looking for an economist who can get their hands dirty and work side by side with other engineers, to advance the efficiency of the Pinterest Marketplace. The nature of projects within this team require a deep understanding of trade-offs, founded on both economic theory and data analysis, from the ideation phase all the way to launch review.
What you'll do:
Build statistical models and production systems to improve marketplace design and operations for Pinners, Partners, and Pinterest.
Tune marketplace parameters (e.g., utility function), optimize ad diversity and load, implement auctions, and model long‑term effects to reduce ad fatigue and improve advertiser outcomes.
Define and implement experiments to understand long term Marketplace effects.
Develop strategies to balance long and short term business objectives.
Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
Application areas: marketplace performance analysis, advertiser churn/retention modeling, promotional bandwidth allocation, ranking/pricing/mechanism design, bidding/budgeting innovation, and anticipating second‑order effects for new ad offerings.
What we're looking for:
Degree in Computer Science, Machine Learning, Economics, Operations Research, Statistics or a related field.
Industry experience in applying economics or machine learning to real products (e.g., ads auctions, pricing, marketplaces, or large‑scale recommendation/search systems).
Knowledge in auction theory, market design, and econometrics with excellent data analysis skills.
Strong software engineering and mathematical skills and proficient with statistical methods.
Experience with online experimentation and causal inference (A/B testing, long‑running experiments, or similar) in large‑scale systems.
Practical understanding of machine learning algorithms and techniques.
Impact‑driven, highly collaborative, and an effective communicator; prior ads or two‑sided marketplace experience strongly preferred.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721-$332,012 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
$189.7k-332k yearly Auto-Apply 12d ago
Machine Learning Engineer, Otter - Mountain View
Otter 4.4
Machining engineer job in Mountain View, CA
Who we are
In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.
Check out some of our products: CloudKitchens | Otter | Picnic | Lab37
What you'll do
As a Machine Learning Engineer at CSS, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:
Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
Collaborative Teamwork: Work closely with a team to enhance and support technology
Innovation: Drive innovation within the team and support CSS' technological advancements
What we're looking for
Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
High energy rapid software development, iterating and pivoting quickly
Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
Proficient in Python; Familiarity with Java/Go
Experience with data analysis and visualization
Strong communication and presentation skills
Why join us
Growing market: You'll be focused on an $80 billion market that's projected to reach at least $500 billion by 2030 in the US alone.
Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.
World class talent - you will work with a class of highly skilled, motivated, and experienced engineers that you can learn and grow together.
What else you need to know:
This role is based in our Mountain View office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.
$111k-150k yearly est. Auto-Apply 60d+ ago
Machine Learning Engineer
Neuralink 4.1
Machining engineer job in Fremont, CA
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
About You:
Experience writing production-level C/C++/Rust and Python
Proven track record of designing, building, and shipping real-time ML products
Strong foundation in signal processing, algorithms, and software engineering principles
Bachelor's degree in relevant field or equivalent experience
Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:$199,000-$331,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
An opportunity to change the world and work with some of the smartest and most talented experts from different fields
Growth potential; we rapidly advance team members who have an outsized impact
Excellent medical, dental, and vision insurance through a PPO plan
Paid holidays
Commuter benefits
Meals provided
Equity (RSUs)
*Temporary Employees & Interns excluded
401(k) plan
*Interns initially excluded until they work 1,000 hours
Parental leave
*Temporary Employees & Interns excluded
Flexible time off
*Temporary Employees & Interns excluded
$199k-331k yearly Auto-Apply 12d ago
Senior Machine Learning Engineer (Tapestry)
X 4.3
Machining engineer job in Mountain View, CA
About the team: Tapestry is Alphabet's moonshot for the electric grid, working at the frontier where energy's complexity meets AI's potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.
To keep pace with humanity's growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently-ensuring electricity remains reliable and affordable for everyone.
This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future. Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design-all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.
About the role:
We're looking for a Senior Machine Learning Engineer to join our team. In this role, you will be responsible for developing and deploying state of the art machine learning models to solve complex challenges that face today's electric grid. You'll have the opportunity to lead model building and development across diverse ML domains such as time series analysis, planning and reinforcement learning, multi modal information retrieval and reasoning and agentic AI. In this role, you will be responsible for end to end ML model training and deployment, working with and mentoring junior machine learning engineers, helping lead cross-functional collaborations and build the state of the art machine learning models to help power the grid of tomorrow.
How you will make 10x impact:
* Design, train, and deploy machine learning models in production environments.
* Lead the end to end development of ML systems for one or more of planning and reinforcement learning, forecasting and multimodal machine learning
* Actively collaborate with leaders in product, engineering, and data science teams to address key business problems
* Mentor junior engineers and scientists and contribute to the team's technical growth.
* Stay abreast of the latest advancements in machine learning
What you should have:
* Master's Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or equivalent practical experience.
* 6+ years of professional experience in machine learning model development and engineering.
* Deep expertise in one or more of the following areas: planning and control, reinforcement learning, forecasting, multimodal machine learning and information retrieval
* Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
* Experience with building and deploying ML systems at scale, and a proven ability to perform applied ML research and develop the state of the art
* Proven ability to work on cross-functional projects and deliver results in a fast-paced, collaborative environment
It'd be great if you also had these:
* PhD in Machine Learning, Computer Science, Statistics, or a related field
* Experience with cloud platforms such as AWS, GCP, or Azure.
* Familiarity with MLOps practices and tools.
* A strong portfolio of projects demonstrating expertise in multiple ML domains..
The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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$111k-147k yearly est. Auto-Apply 8d ago
Earth Engine/GeoTiff Machine Learning Engineer
Us Tech Solutions 4.4
Machining engineer job in Mountain View, CA
+ The client is building products that predict and simulate Earth systems and how they interact with the built environment. They believe mapping and measuring changes to the human and natural world will help them manage climate-related risks. The goal is to enable users to understand how mitigation actions would shift their risk profile.
**Responsibilities:**
+ Develop Machine Learning (ML) and physics-based models for Earth systems applications where Machine Learning (ML) can bring hockey stick growth.
+ Present findings to team members, internal and external stakeholders, and help set a direction for future development.
+ Design and run Machine Learning (ML) simulations for environmental phenomena such as wildfires.
+ Fetch and pre-process geospatial and multimodal data in a highly parallel environment.
+ Create and maintain Client's Cloud infrastructure for software development and high-volume production systems.
**Mandatory:**
+ Experience with earth engine and functional programming.
+ Experience with machine learning systems, algorithms, or applications such as: deep learning, computer vision,
+ Completed coursework in calculus, linear algebra, and probability, or their equivalent.
+ Experience with one or more general purpose programming languages, including but not limited to: Python
+ Experience with open-source tools such as git, TensorFlow, etc.
+ Experience with tiffs and tiff projections into physical spaces (aka GeoTiff) would be a plus.
+ Experience with using Machine Learning (ML) on image files and images that change over time would be a plus.
**Skills:**
+ Earth Systems Applications
+ Earth Engine
+ Machine Learning
+ Python
+ GeoTiff
+ Geospatial
**Education:**
+ Bachelor's Degree or equivalent practical experience.
**About US Tech Solutions:**
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
$115k-182k yearly est. 60d+ ago
Senior Robotics Engineer, Software
1X Technologies As
Machining engineer job in Palo Alto, CA
Senior Robotics Engineer, Software | Software Engineering Palo Alto, CA (on-site)
About 1X We build humanoid robots that work alongside people to solve labor shortages and create abundance.
The Role As a Senior Robotics Software Engineer on the Real-Time Software Team, you will develop core real-time C++ systems and tools that integrate with hardware and sensors to ensure robot performance and safety. Your work will be key to transitioning 1X's robots from R&D to large-scale manufacturing and deployment.
You Will
Develop production-grade, real-time C++ software for robust control systems
Design efficient algorithms for state estimation
Create tools for system identification and precise calibration of actuators, transmissions, and full-body kinematics
Integrate hardware components and evaluate sensors to ensure seamless functionality
Build hardware bring-up and debugging tools
Develop software for robot health monitoring, visualization, and logging
Build and maintain APIs for other software components to command and control the robot
Job requirements
Must Have
3+ years of professional software engineering experience in a relevant robotics field
Proficiency in C++ and strong skills in other programming languages
Experience with Linux in hardware-oriented products such as robots, drones, or IoT devices
Deep understanding of object-oriented programming, real-time programming, linear algebra, data structures, and algorithms
Familiarity with product development practices including release mechanisms, CI/CD workflows
Strong Linux system-level knowledge including kernel tuning, process scheduling, and memory management (preferred)
Solid understanding of rigid body dynamics and numerical optimization techniques for real-time systems (preferred)
Experience with embedded C for sensor and actuator interfacing (preferred)
Hands-on experience with robotics hardware, personal robotics projects, or hardware tinkering (preferred)
Benefits & Compensation
Salary Range: $137,861 - $240,.000 + Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays
Equal Opportunity Employer
1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.
On-site
Palo Alto, California, United States
$137,861 - $240,000 per year Software EngineeringAll done!
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$137.9k-240k yearly 60d+ ago
GNC Robotics Engineer
E-Space 3.7
Machining engineer job in Saratoga, CA
Job DescriptionReady to make connectivity from space universally accessible, secure and actionable? Then you've come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.
We're intentional, we're unapologetically curious and we're 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.
We are seeking a hands-on Test Engineer to join our Guidance, Navigation & Control (GNC) team. You will design, build, and operate testbeds and ground support equipment to validate sensors, actuators, and the end-to-end GNC subsystem. This position is based in Saratoga, CA. What you will do:
Design, assemble, and operate hardware testbeds and ground support equipment (GSE).
Develop scripts and tools for test automation, data processing, and logging.
Develop and execute characterization, qualification, and acceptance test procedures for GNC sensors, actuators, and for system-level Assembly, Integration, and Tests (AIT).
Document test results and process data to support calibration and performance model updates.
Participate in spacecraft AIT campaigns, including flat sat and environmental testing, ensuring continuity from subsystem validation through to on-orbit commissioning.
Prepare documentation, present findings, and participate in design and test reviews.
What you bring to this role:
BS +5 years / MS +3 years in Electronics, Mechatronics, Robotics, Aerospace, or related field.
Organized and proactive problem solver; thrives in hands-on fast-paced startup environment.
Direct experience testing and delivering critical hardware, with associated processes and practices (clean room, ESD protocols, access controls, etc.).
Proficiency with CAD modeling and 3D printing for rapid prototyping.
Skilled in Unix/Linux, Bash, Python, MATLAB, and collaborative version control (git-based workflows).
Experience building and operating testbeds using microcontrollers or embedded systems (e.g., Raspberry Pi, Arduino, Pixhawk).
Familiarity with typical GNC sensors and actuators (e.g., IMUs, GNSS, magnetometers), and associated testing and calibration methods.
Excellent technical communication and presentation skills.
Bonus points:
Experience with a spacecraft AIT, launch campaign, and spacecraft on-orbit operations.
Knowledge of GNC estimation (e.g., Kalman filters) and control (e.g., PID, LQR) algorithms.
Understanding of space environment effects on hardware.
Experience reading PCB schematics, debugging PCBs and building simple harnesses.
This is a full time, exempt position, based out of our Saratoga office. The target base pay for this position is $100,000 - $200,000 annually. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used-so we're looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that's your experience - then we'll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role.
Why E-Space is right for you:
As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry.
We want you to make the most of your journey at E-Space. That's why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:
• An opportunity to really make a difference• Sustainability at our core• Fair and honest workplace• Innovative thinking is encouraged• Competitive salaries• Continuous learning and development• Health and wellness care options• Financial solutions for the future • Optional legal services (US only)• Paid holidays• Paid time off
$100k-200k yearly 16d ago
Staff Robotics Engineer (Dynamics and Controls)
General Motors 4.6
Machining engineer job in Mountain View, CA
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
**Role:**
As a Technical Lead you will be a senior individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.
**What** **you'll** **be doing:**
+ Shape the technical vision byowningmulti-quarter roadmap designs for vehicle dynamics and controls software.
+ Architect and implement system designs and interface contracts withperception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.
+ Lead technical reviews and drive software engineering best practices across the team and the larger organization.
+ Contribute to Active Safety, Driver Assistance, and SuperCruisedevelopment.
+ Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.
+ Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.
+ Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.
+ Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance
+ Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.
+ Improve and deliver reliable software through continuous integration, automated testing, and code reviews.
+ Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.
+ Help define, build, and embody GMengineering culture and principles.
**Qualifications** **:**
+ Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered
+ 5+ years of experience in motion planning or related field
+ Deep understanding of optimalcontrols and trajectory optimization algorithms
+ Good grasp of classical and modern feedback control theory and techniques
+ Solid understanding of vehicle dynamics
+ A demonstrated track record of building high quality autonomoussoftware systems
+ Deep expertise in Planning and Controls system design
+ Experience withC++/Python in a large, distributed development environment
+ Strong organizational and communication skills
+ Passion for self-driving technology and its potential impact on the world
**Bonus points!**
+ A background in robotics, ROS, or the AV/ADAS industry
+ Experience in numerical optimization algorithms
+ Experience designing software applications for safety critical systems
+ Experience building and managing engineering teams
_Compensation_ :
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
+ The salary range for this role is $198,900.00 to $304,800.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
_Benefits:_
+ Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
This job may be eligible for relocation benefits.
Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company (**************************************************
**Our Culture**
**How we hire (************************************************
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
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We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
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The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
How much does a machining engineer earn in San Jose, CA?
The average machining engineer in San Jose, CA earns between $97,000 and $209,000 annually. This compares to the national average machining engineer range of $83,000 to $182,000.
Average machining engineer salary in San Jose, CA
$142,000
What are the biggest employers of Machining Engineers in San Jose, CA?
The biggest employers of Machining Engineers in San Jose, CA are: